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Volumn 18, Issue 3, 2016, Pages

Tea category identification using a novel fractional fourier entropy and Jaya algorithm

Author keywords

Color histogram; Feed forward neural network; Fractional Fourier entropy; Jaya algorithm; Kernel principal component analysis; Stratified cross validation; Tea category identification

Indexed keywords


EID: 84961805942     PISSN: None     EISSN: 10994300     Source Type: Journal    
DOI: 10.3390/e18030077     Document Type: Article
Times cited : (100)

References (60)
  • 1
    • 0033807245 scopus 로고    scopus 로고
    • Effects of tea consumption on nutrition and health
    • [PubMed]
    • Yang, C.S.; Landau, J.M. Effects of tea consumption on nutrition and health. J. Nutr. 2000, 130, 2409-2412. [PubMed].
    • (2000) J. Nutr , vol.130 , pp. 2409-2412
    • Yang, C.S.1    Landau, J.M.2
  • 2
    • 84893481901 scopus 로고    scopus 로고
    • Green tea catechins: Proposed mechanisms of action in breast cancer focusing on the interplay between survival and apoptosis
    • Ch Yiannakopoulou, E. Green tea catechins: Proposed mechanisms of action in breast cancer focusing on the interplay between survival and apoptosis. Anti-Cancer Agents Med. Chem. 2014, 14, 290-295.
    • (2014) Anti-Cancer Agents Med. Chem , vol.14 , pp. 290-295
    • Ch Yiannakopoulou, E.1
  • 3
    • 84942077065 scopus 로고    scopus 로고
    • Natural compounds against neurodegenerative diseases: Molecular characterization of the interaction of catechins from green tea with Aβ1-42, PrP106-126, and ataxin-3 oligomers
    • Sironi, E.; Colombo, L.; Lompo, A.; Messa, M.; Bonanomi, M.; Regonesi, M.E.; Salmona, M.; Airoldi, C. Natural compounds against neurodegenerative diseases: Molecular characterization of the interaction of catechins from green tea with Aβ1-42, PrP106-126, and ataxin-3 oligomers. Chemistry 2014, 20, 13793-13800.
    • (2014) Chemistry , vol.20 , pp. 13793-13800
    • Sironi, E.1    Colombo, L.2    Lompo, A.3    Messa, M.4    Bonanomi, M.5    Regonesi, M.E.6    Salmona, M.7    Airoldi, C.8
  • 4
    • 84942986569 scopus 로고    scopus 로고
    • Black tea consumption and risk of skin cancer: An 11-year prospective study
    • Miura, K.; Hughes, M.C.B.; Arovah, N.I.; van der Pols, J.C.; Green, A.C. Black tea consumption and risk of skin cancer: An 11-year prospective study. Nutr. Cancer 2015, 67, 1049-1055.
    • (2015) Nutr. Cancer , vol.67 , pp. 1049-1055
    • Miura, K.1    Hughes, M.C.B.2    Arovah, N.I.3    van der Pols, J.C.4    Green, A.C.5
  • 5
    • 84897489405 scopus 로고    scopus 로고
    • Dose-response meta-analysis on coffee, tea and caffeine consumption with risk of Parkinson's disease
    • Qi, H.; Li, S.X. Dose-response meta-analysis on coffee, tea and caffeine consumption with risk of Parkinson's disease. Geriatr. Gerontol. Int. 2014, 14, 430-439.
    • (2014) Geriatr. Gerontol. Int , vol.14 , pp. 430-439
    • Qi, H.1    Li, S.X.2
  • 6
    • 84961808073 scopus 로고    scopus 로고
    • Extracellular matrix components influence prostate tumor cell sensitivity to cancer-preventive agents selenium and green tea polyphenols
    • Gopalakrishna, R.; Fan, T.; Deng, R.; Rayudu, D.; Chen, Z.W.; Tzeng, W.S.; Gundimeda, U. Extracellular matrix components influence prostate tumor cell sensitivity to cancer-preventive agents selenium and green tea polyphenols. Cancer Res. 2014, 74.
    • (2014) Cancer Res , vol.74
    • Gopalakrishna, R.1    Fan, T.2    Deng, R.3    Rayudu, D.4    Chen, Z.W.5    Tzeng, W.S.6    Gundimeda, U.7
  • 7
    • 84879319405 scopus 로고    scopus 로고
    • Green tea catechin leads to global improvement among Alzheimer's disease-related phenotypes in NSE/hAPP-C105 Tg mice
    • Lim, H.J.; Shim, S.B.; Jee, S.W.; Lee, S.H.; Lim, C.J.; Hong, J.T.; Sheen, Y.Y.; Hwang, D.Y. Green tea catechin leads to global improvement among Alzheimer's disease-related phenotypes in NSE/hAPP-C105 Tg mice. J. Nutr. Biochem. 2013, 24, 1302-1313.
    • (2013) J. Nutr. Biochem , vol.24 , pp. 1302-1313
    • Lim, H.J.1    Shim, S.B.2    Jee, S.W.3    Lee, S.H.4    Lim, C.J.5    Hong, J.T.6    Sheen, Y.Y.7    Hwang, D.Y.8
  • 8
    • 84903288916 scopus 로고    scopus 로고
    • Effects of black tea on body composition and metabolic outcomes related to cardiovascular disease risk: A randomized controlled trial
    • Bohn, S.K.; Croft, K.D.; Burrows, S.; Puddey, I.B.; Mulder, T.P. J.; Fuchs, D.; Woodmand, R.J.; Hodgson, J.M. Effects of black tea on body composition and metabolic outcomes related to cardiovascular disease risk: A randomized controlled trial. Food Funct. 2014, 5, 1613-1620.
    • (2014) Food Funct , vol.5 , pp. 1613-1620
    • Bohn, S.K.1    Croft, K.D.2    Burrows, S.3    Puddey, I.B.4    Mulder, T.P.J.5    Fuchs, D.6    Woodmand, R.J.7    Hodgson, J.M.8
  • 9
    • 84907202560 scopus 로고    scopus 로고
    • White tea (Camellia sinensis) inhibits proliferation of the colon cancer cell line, HT-29, activates caspases and protects DNA of normal cells against oxidative damage
    • Hajiaghaalipour, F.; Kanthimathi, M.S.; Sanusi, J.; Rajarajeswaran, J. White tea (Camellia sinensis) inhibits proliferation of the colon cancer cell line, HT-29, activates caspases and protects DNA of normal cells against oxidative damage. Food Chem. 2015, 169, 401-410.
    • (2015) Food Chem , vol.169 , pp. 401-410
    • Hajiaghaalipour, F.1    Kanthimathi, M.S.2    Sanusi, J.3    Rajarajeswaran, J.4
  • 10
    • 84883421107 scopus 로고    scopus 로고
    • Determination of amino acids in white, green, black, oolong, pu-erh teas and tea products
    • Horanni, R.; Engelhardt, U.H. Determination of amino acids in white, green, black, oolong, pu-erh teas and tea products. J. Food Compos. Anal. 2013, 31, 94-100.
    • (2013) J. Food Compos. Anal , vol.31 , pp. 94-100
    • Horanni, R.1    Engelhardt, U.H.2
  • 11
    • 84940385885 scopus 로고    scopus 로고
    • A computer vision approach for automated analysis and classification of microstructural image data
    • DeCost, B.L.; Holm, E.A. A computer vision approach for automated analysis and classification of microstructural image data. Comput. Mater. Sci. 2015, 110, 126-133.
    • (2015) Comput. Mater. Sci , vol.110 , pp. 126-133
    • DeCost, B.L.1    Holm, E.A.2
  • 12
    • 84937151522 scopus 로고    scopus 로고
    • Intelligent surveillance of indoor environments based on computer vision and 3D point cloud fusion
    • Gomez, M.J.; Garcia, F.; Martin, D.; de la Escalera, A.; Armingol, J.M. Intelligent surveillance of indoor environments based on computer vision and 3D point cloud fusion. Expert Syst. Appl. 2015, 42, 8156-8171.
    • (2015) Expert Syst. Appl , vol.42 , pp. 8156-8171
    • Gomez, M.J.1    Garcia, F.2    Martin, D.3    de la Escalera, A.4    Armingol, J.M.5
  • 13
    • 84949292725 scopus 로고    scopus 로고
    • Detection of dendritic spines using wavelet-based conditional symmetric analysis and regularized morphological shared-weight neural networks
    • Wang, S.; Feng, M.M.; Li, Y.; Zhang, Y.; Han, L.; Wu, J.; Du, S.D. Detection of dendritic spines using wavelet-based conditional symmetric analysis and regularized morphological shared-weight neural networks. Comput. Math. Methods Med. 2015.
    • (2015) Comput. Math. Methods Med
    • Wang, S.1    Feng, M.M.2    Li, Y.3    Zhang, Y.4    Han, L.5    Wu, J.6    Du, S.D.7
  • 14
    • 33646830788 scopus 로고    scopus 로고
    • Qualitative identification of tea categories by near infrared spectroscopy and support vector machine
    • Zhao, J.W.; Chen, Q.S.; Huang, X.Y.; Fang, C.H. Qualitative identification of tea categories by near infrared spectroscopy and support vector machine. J. Pharm. Biomed. Anal. 2006, 41, 1198-1204.
    • (2006) J. Pharm. Biomed. Anal , vol.41 , pp. 1198-1204
    • Zhao, J.W.1    Chen, Q.S.2    Huang, X.Y.3    Fang, C.H.4
  • 15
    • 33846650363 scopus 로고    scopus 로고
    • Feasibility study on identification of green, black and Oolong teas using near-infrared reflectance spectroscopy based on support vector machine (SVM)
    • Chen, Q.S.; Zhao, J.W.; Fang, C.H.; Wang, D.M. Feasibility study on identification of green, black and Oolong teas using near-infrared reflectance spectroscopy based on support vector machine (SVM). Spectrochim. Acta A Mol. Biomol. Spectrosc. 2007, 66, 568-574.
    • (2007) Spectrochim. Acta A Mol. Biomol. Spectrosc , vol.66 , pp. 568-574
    • Chen, Q.S.1    Zhao, J.W.2    Fang, C.H.3    Wang, D.M.4
  • 16
    • 0035896263 scopus 로고    scopus 로고
    • Pattern recognition procedures for differentiation of green, black and Oolong teas according to their metal content from inductively coupled plasma atomic emission spectrometry
    • Herrador, M.A.; Gonzalez, A.G. Pattern recognition procedures for differentiation of green, black and Oolong teas according to their metal content from inductively coupled plasma atomic emission spectrometry. Talanta 2001, 53, 1249-1257.
    • (2001) Talanta , vol.53 , pp. 1249-1257
    • Herrador, M.A.1    Gonzalez, A.G.2
  • 17
    • 84879746227 scopus 로고    scopus 로고
    • Classification of tea category using a portable electronic nose based on an odor imaging sensor array
    • Chen, Q.S.; Liu, A.P.; Zhao, J.W.; Ouyang, Q. Classification of tea category using a portable electronic nose based on an odor imaging sensor array. J. Pharm. Biomed. Anal. 2013, 84, 77-89.
    • (2013) J. Pharm. Biomed. Anal , vol.84 , pp. 77-89
    • Chen, Q.S.1    Liu, A.P.2    Zhao, J.W.3    Ouyang, Q.4
  • 18
    • 84924418915 scopus 로고    scopus 로고
    • Determination of essential and non-essential elements in green and black teas by FAAS and ICP OES simplified-Multivariate classification of different tea products
    • Szymczycha-Madeja, A.; Welna, M.; Pohl, P. Determination of essential and non-essential elements in green and black teas by FAAS and ICP OES simplified-Multivariate classification of different tea products. Microchem. J. 2015, 121, 122-129.
    • (2015) Microchem. J , vol.121 , pp. 122-129
    • Szymczycha-Madeja, A.1    Welna, M.2    Pohl, P.3
  • 19
    • 84892489356 scopus 로고    scopus 로고
    • Classification of green and black teas by PCA and SVM analysis of cyclic voltammetric signals from metallic oxide-modified electrode
    • Liu, N.A.; Liang, Y.Z.; Bin, J.; Zhang, Z.M.; Huang, J.H.; Shu, R.X.; Yang, K. Classification of green and black teas by PCA and SVM analysis of cyclic voltammetric signals from metallic oxide-modified electrode. Food Anal. Meth. 2014, 7, 472-480.
    • (2014) Food Anal. Meth , vol.7 , pp. 472-480
    • Liu, N.A.1    Liang, Y.Z.2    Bin, J.3    Zhang, Z.M.4    Huang, J.H.5    Shu, R.X.6    Yang, K.7
  • 20
    • 84927608651 scopus 로고    scopus 로고
    • Longjing tea quality classification by fusion of features collected from E-nose
    • Dai, Y.W.; Zhi, R.C.; Zhao, L.; Gao, H.Y.; Shi, B.L.; Wang, H.Y. Longjing tea quality classification by fusion of features collected from E-nose. Chemom. Intell. Lab. Syst. 2015, 144, 63-70.
    • (2015) Chemom. Intell. Lab. Syst , vol.144 , pp. 63-70
    • Dai, Y.W.1    Zhi, R.C.2    Zhao, L.3    Gao, H.Y.4    Shi, B.L.5    Wang, H.Y.6
  • 21
    • 44449086464 scopus 로고    scopus 로고
    • Identification of tea varieties using computer vision
    • Chen, Q.; Zhao, J.; Cai, J. Identification of tea varieties using computer vision. Trans. ASABE 2008, 51, 623-628.
    • (2008) Trans. ASABE , vol.51 , pp. 623-628
    • Chen, Q.1    Zhao, J.2    Cai, J.3
  • 22
    • 77957201352 scopus 로고    scopus 로고
    • Identification and grading of tea using computer vision
    • Jian, W.; Xianyin, Z.; Shi Ping, D. Identification and grading of tea using computer vision. Appl. Eng. Agric. 2010, 26, 639-645.
    • (2010) Appl. Eng. Agric , vol.26 , pp. 639-645
    • Jian, W.1    Xianyin, Z.2    Shi Ping, D.3
  • 23
    • 84869493720 scopus 로고    scopus 로고
    • Classification of tea grains based upon image texture feature analysis under different illumination conditions
    • Laddi, A.; Sharma, S.; Kumar, A.; Kapur, P. Classification of tea grains based upon image texture feature analysis under different illumination conditions. J. Food Eng. 2013, 115, 226-231.
    • (2013) J. Food Eng , vol.115 , pp. 226-231
    • Laddi, A.1    Sharma, S.2    Kumar, A.3    Kapur, P.4
  • 24
    • 79956205688 scopus 로고    scopus 로고
    • Monitoring and grading of tea by computer vision-A review
    • Gill, G.S.; Kumar, A.; Agarwal, R. Monitoring and grading of tea by computer vision-A review. J. Food Eng. 2011, 106, 13-19.
    • (2011) J. Food Eng , vol.106 , pp. 13-19
    • Gill, G.S.1    Kumar, A.2    Agarwal, R.3
  • 25
    • 84904977190 scopus 로고    scopus 로고
    • Fruit classification using computer vision and feedforward neural network
    • Zhang, Y.; Wang, S.; Ji, G.; Phillips, P. Fruit classification using computer vision and feedforward neural network. J. Food Eng. 2014, 143, 167-177.
    • (2014) J. Food Eng , vol.143 , pp. 167-177
    • Zhang, Y.1    Wang, S.2    Ji, G.3    Phillips, P.4
  • 26
    • 84937812245 scopus 로고    scopus 로고
    • A local binary pattern based texture descriptors for classification of tea leaves
    • Tang, Z.; Su, Y.C.; Er, M.J.; Qi, F.; Zhang, L.; Zhou, J.Y. A local binary pattern based texture descriptors for classification of tea leaves. Neurocomputing 2015, 168, 1011-1023.
    • (2015) Neurocomputing , vol.168 , pp. 1011-1023
    • Tang, Z.1    Su, Y.C.2    Er, M.J.3    Qi, F.4    Zhang, L.5    Zhou, J.Y.6
  • 27
    • 84922147384 scopus 로고    scopus 로고
    • Integrating multiple texture methods and NDVI to the Random Forest classification algorithm to detect tea and hazelnut plantation areas in northeast Turkey
    • Akar, O.; Gungor, O. Integrating multiple texture methods and NDVI to the Random Forest classification algorithm to detect tea and hazelnut plantation areas in northeast Turkey. Int. J. Remote Sens. 2015, 36, 442-464.
    • (2015) Int. J. Remote Sens , vol.36 , pp. 442-464
    • Akar, O.1    Gungor, O.2
  • 28
    • 84946056461 scopus 로고    scopus 로고
    • Identification of green, oolong and black teas in China via wavelet packet entropy and fuzzy support vector machine
    • Wang, S.; Yang, X.; Zhang, Y.; Phillips, P.; Yang, J.; Yuan, T.F. Identification of green, oolong and black teas in China via wavelet packet entropy and fuzzy support vector machine. Entropy 2015, 17, 6663-6682.
    • (2015) Entropy , vol.17 , pp. 6663-6682
    • Wang, S.1    Yang, X.2    Zhang, Y.3    Phillips, P.4    Yang, J.5    Yuan, T.F.6
  • 29
    • 84952683289 scopus 로고    scopus 로고
    • Pathological brain detection by a novel image feature-Fractional Fourier entropy
    • Wang, S.; Zhang, Y.; Yang, X.J.; Sun, P.; Dong, Z.C.; Liu, A.J.; Yuan, T.F. Pathological brain detection by a novel image feature-Fractional Fourier entropy. Entropy 2015, 17, 8278-8296.
    • (2015) Entropy , vol.17 , pp. 8278-8296
    • Wang, S.1    Zhang, Y.2    Yang, X.J.3    Sun, P.4    Dong, Z.C.5    Liu, A.J.6    Yuan, T.F.7
  • 30
    • 84940054935 scopus 로고    scopus 로고
    • Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems
    • Rao, R.V. Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems. Int. J. Ind. Eng. Comput. 2016, 7, 19-34.
    • (2016) Int. J. Ind. Eng. Comput , vol.7 , pp. 19-34
    • Rao, R.V.1
  • 31
    • 81155132379 scopus 로고    scopus 로고
    • Gap-Type a-Si TFTs for Front Light Sensing Application
    • Tai, Y.H.; Chou, L.S.; Chiu, H.L. Gap-Type a-Si TFTs for Front Light Sensing Application. J. Disp. Technol. 2011, 7, 679-683.
    • (2011) J. Disp. Technol , vol.7 , pp. 679-683
    • Tai, Y.H.1    Chou, L.S.2    Chiu, H.L.3
  • 33
    • 79551479131 scopus 로고    scopus 로고
    • Color and texture classification of green tea using least squares support vector machine (LSSVM)
    • Yu, X.J.; Liu, K.S.; He, Y.; Wu, D. Color and texture classification of green tea using least squares support vector machine (LSSVM). Key Eng. Mater. 2011, 460-461, 774-779.
    • (2011) Key Eng. Mater , vol.460-461 , pp. 774-779
    • Yu, X.J.1    Liu, K.S.2    He, Y.3    Wu, D.4
  • 35
    • 84876295364 scopus 로고    scopus 로고
    • Fractional Fourier transform based features for speaker recognition using support vector machine
    • Ajmera, P.K.; Holambe, R.S. Fractional Fourier transform based features for speaker recognition using support vector machine. Comput. Electr. Eng. 2013, 39, 550-557.
    • (2013) Comput. Electr. Eng , vol.39 , pp. 550-557
    • Ajmera, P.K.1    Holambe, R.S.2
  • 37
    • 85027951314 scopus 로고    scopus 로고
    • FrFT-based scene classification of phase-gradient InSAR images and effective baseline dependence
    • Cagatay, N.D.; Datcu, M. FrFT-based scene classification of phase-gradient InSAR images and effective baseline dependence. IEEE Geosci. Remote Sens. Lett. 2015, 12, 1131-1135.
    • (2015) IEEE Geosci. Remote Sens. Lett , vol.12 , pp. 1131-1135
    • Cagatay, N.D.1    Datcu, M.2
  • 38
    • 0026222570 scopus 로고
    • The fractional Fourier transform and applications
    • Bailey, D.H.; Swarztrauber, P.N. The fractional Fourier transform and applications. SIAM Rev. 1991, 33, 389-404.
    • (1991) SIAM Rev , vol.33 , pp. 389-404
    • Bailey, D.H.1    Swarztrauber, P.N.2
  • 39
    • 84947939480 scopus 로고    scopus 로고
    • Magnetic resonance brain image classification based on weighted-type fractional Fourier transform and nonparallel support vector machine
    • Chen, S.F.; Wang, S.H.; Yang, J.F.; Phillips, P. Magnetic resonance brain image classification based on weighted-type fractional Fourier transform and nonparallel support vector machine. Int. J. Imaging Syst. Technol. 2015, 24, 317-327.
    • (2015) Int. J. Imaging Syst. Technol , vol.24 , pp. 317-327
    • Chen, S.F.1    Wang, S.H.2    Yang, J.F.3    Phillips, P.4
  • 40
    • 84942543988 scopus 로고    scopus 로고
    • A non-linear preprocessing for opto-digital image encryption using multiple-parameter discrete fractional Fourier transform
    • Azoug, S.E.; Bouguezel, S. A non-linear preprocessing for opto-digital image encryption using multiple-parameter discrete fractional Fourier transform. Opt. Commun. 2016, 359, 85-94.
    • (2016) Opt. Commun , vol.359 , pp. 85-94
    • Azoug, S.E.1    Bouguezel, S.2
  • 41
    • 84902852205 scopus 로고    scopus 로고
    • A fractional perspective to financial indices
    • Machado, J.A.T. A fractional perspective to financial indices. Optimization 2014, 63, 1167-1179.
    • (2014) Optimization , vol.63 , pp. 1167-1179
    • Machado, J.A.T.1
  • 42
    • 84948461606 scopus 로고    scopus 로고
    • Pathological brain detection in MRI scanning by wavelet packet Tsallis entropy and fuzzy support vector machine
    • Yang, X.J.; Dong, Z.C.; Liu, G.; Phillips, P. Pathological brain detection in MRI scanning by wavelet packet Tsallis entropy and fuzzy support vector machine. SpringerPlus 2015, 4.
    • (2015) SpringerPlus , vol.4
    • Yang, X.J.1    Dong, Z.C.2    Liu, G.3    Phillips, P.4
  • 43
    • 83955165320 scopus 로고    scopus 로고
    • Artificial neural network model for prediction of cold spot temperature in retort sterilization of starch-based foods
    • Llave, Y.A.; Hagiwara, T.; Sakiyama, T. Artificial neural network model for prediction of cold spot temperature in retort sterilization of starch-based foods. J. Food Eng. 2012, 109, 553-560.
    • (2012) J. Food Eng , vol.109 , pp. 553-560
    • Llave, Y.A.1    Hagiwara, T.2    Sakiyama, T.3
  • 44
    • 84919787953 scopus 로고    scopus 로고
    • Prediction of the binary density of the ionic liquids plus water using back-propagated feed forward artificial neural network
    • Shojaee, S.A.; Hezave, A.Z.; Lashkarbolooki, M.; Shafipour, Z.S. Prediction of the binary density of the ionic liquids plus water using back-propagated feed forward artificial neural network. Chem. Ind. Chem. Eng. Q. 2014, 20, 325-338.
    • (2014) Chem. Ind. Chem. Eng. Q , vol.20 , pp. 325-338
    • Shojaee, S.A.1    Hezave, A.Z.2    Lashkarbolooki, M.3    Shafipour, Z.S.4
  • 45
    • 84904467844 scopus 로고    scopus 로고
    • Impact of learning rate and momentum factor in the performance of back-propagation neural network to identify internal dynamics of chaotic motion
    • Karmakar, S.; Shrivastava, G.; Kowar, M.K. Impact of learning rate and momentum factor in the performance of back-propagation neural network to identify internal dynamics of chaotic motion. Kuwait J. Sci. 2014, 41, 151-174.
    • (2014) Kuwait J. Sci , vol.41 , pp. 151-174
    • Karmakar, S.1    Shrivastava, G.2    Kowar, M.K.3
  • 46
    • 84907546172 scopus 로고    scopus 로고
    • Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks
    • Chandwani, V.; Agrawal, V.; Nagar, R. Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks. Expert Syst. Appl. 2015, 42, 885-893.
    • (2015) Expert Syst. Appl , vol.42 , pp. 885-893
    • Chandwani, V.1    Agrawal, V.2    Nagar, R.3
  • 47
    • 84903280064 scopus 로고    scopus 로고
    • Integration of artificial neural network and simulated annealing algorithm to optimize deep drawing process
    • Manoochehri, M.; Kolahan, F. Integration of artificial neural network and simulated annealing algorithm to optimize deep drawing process. Int. J. Adv. Manuf. Technol. 2014, 73, 241-249.
    • (2014) Int. J. Adv. Manuf. Technol , vol.73 , pp. 241-249
    • Manoochehri, M.1    Kolahan, F.2
  • 48
    • 84920252463 scopus 로고    scopus 로고
    • An efficient model based on artificial bee colony optimization algorithm with Neural Networks for electric load forecasting
    • Awan, S.M.; Aslam, M.; Khan, Z.A.; Saeed, H. An efficient model based on artificial bee colony optimization algorithm with Neural Networks for electric load forecasting. Neural Comput. Appl. 2014, 25, 1967-1978.
    • (2014) Neural Comput. Appl , vol.25 , pp. 1967-1978
    • Awan, S.M.1    Aslam, M.2    Khan, Z.A.3    Saeed, H.4
  • 49
    • 84908308703 scopus 로고    scopus 로고
    • Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks
    • Momeni, E.; Armaghani, D.J.; Hajihassani, M.; Amin, M.F.M. Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks. Measurement 2015, 60, 50-63.
    • (2015) Measurement , vol.60 , pp. 50-63
    • Momeni, E.1    Armaghani, D.J.2    Hajihassani, M.3    Amin, M.F.M.4
  • 50
    • 84940487338 scopus 로고    scopus 로고
    • Fruit classification by wavelet-entropy and feedforward neural network trained by fitness-scaled chaotic ABC and biogeography-based optimization
    • Wang, S.; Ji, G.L.; Yang, J.Q.; Wu, J.G.; Wei, L. Fruit classification by wavelet-entropy and feedforward neural network trained by fitness-scaled chaotic ABC and biogeography-based optimization. Entropy 2015, 17, 5711-5728.
    • (2015) Entropy , vol.17 , pp. 5711-5728
    • Wang, S.1    Ji, G.L.2    Yang, J.Q.3    Wu, J.G.4    Wei, L.5
  • 51
    • 67651092137 scopus 로고    scopus 로고
    • Forecasting foreign exchange rates with an improved back-propagation learning algorithm with adaptive smoothing momentum terms
    • Yu, L.; Wang, S.Y.; Kai, K.K. Forecasting foreign exchange rates with an improved back-propagation learning algorithm with adaptive smoothing momentum terms. Front. Comput. Sci. China 2009, 3, 167-176.
    • (2009) Front. Comput. Sci. China , vol.3 , pp. 167-176
    • Yu, L.1    Wang, S.Y.2    Kai, K.K.3
  • 52
    • 78951475022 scopus 로고    scopus 로고
    • Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems
    • Rao, R.V.; Savsani, V.J.; Vakharia, D.P. Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems. Comput. Aided Des. 2011, 43, 303-315.
    • (2011) Comput. Aided Des , vol.43 , pp. 303-315
    • Rao, R.V.1    Savsani, V.J.2    Vakharia, D.P.3
  • 53
    • 84868299435 scopus 로고    scopus 로고
    • Teaching-learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems
    • Rao, R.V.; Savsani, V.J.; Balic, J. Teaching-learning-based optimization algorithm for unconstrained and constrained real-parameter optimization problems. Eng. Optim. 2012, 44, 1447-1462.
    • (2012) Eng. Optim , vol.44 , pp. 1447-1462
    • Rao, R.V.1    Savsani, V.J.2    Balic, J.3
  • 54
    • 84925794659 scopus 로고    scopus 로고
    • Hybrid teaching-learning-based optimization algorithms for the Quadratic Assignment Problem
    • Dokeroglu, T. Hybrid teaching-learning-based optimization algorithms for the Quadratic Assignment Problem. Comput. Ind. Eng. 2015, 85, 86-101.
    • (2015) Comput. Ind. Eng , vol.85 , pp. 86-101
    • Dokeroglu, T.1
  • 55
    • 84940397323 scopus 로고    scopus 로고
    • Finding patterns in protein sequences by using a hybrid multiobjective teaching learning based optimization algorithm
    • Gonzalez-Alvarez, D.L.; Vega-Rodriguez, M.A.; Rubio-Largo, A. Finding patterns in protein sequences by using a hybrid multiobjective teaching learning based optimization algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 2015, 12, 656-666.
    • (2015) IEEE ACM Trans. Comput. Biol. Bioinform , vol.12 , pp. 656-666
    • Gonzalez-Alvarez, D.L.1    Vega-Rodriguez, M.A.2    Rubio-Largo, A.3
  • 56
    • 84930986382 scopus 로고    scopus 로고
    • A teaching learning based optimization for truss structures with frequency constraints
    • Dede, T.; Togan, V. A teaching learning based optimization for truss structures with frequency constraints. Struct. Eng. Mech. 2015, 53, 833-845.
    • (2015) Struct. Eng. Mech , vol.53 , pp. 833-845
    • Dede, T.1    Togan, V.2
  • 57
    • 84883198753 scopus 로고    scopus 로고
    • An improved teaching-learning-based optimization algorithm for solving unconstrained optimization problems
    • Rao, R.V.; Patel, V. An improved teaching-learning-based optimization algorithm for solving unconstrained optimization problems. Sci. Iran. 2013, 20, 710-720.
    • (2013) Sci. Iran , vol.20 , pp. 710-720
    • Rao, R.V.1    Patel, V.2
  • 58
    • 84944903522 scopus 로고    scopus 로고
    • Detection of Alzheimer's disease by displacement field and machine learning
    • Zhang, Y.D. Detection of Alzheimer's disease by displacement field and machine learning. PeerJ 2015, 3, e1251.
    • (2015) PeerJ , vol.3
    • Zhang, Y.D.1
  • 59
    • 84954184199 scopus 로고    scopus 로고
    • Detection of Alzheimer's Disease by Three-Dimensional Displacement Field Estimation in Structural Magnetic Resonance Imaging
    • Wang, S.; Zhang, Y.; Liu, G.; Phillips, P.; Yuan, T.F. Detection of Alzheimer's Disease by Three-Dimensional Displacement Field Estimation in Structural Magnetic Resonance Imaging. J. Alzheimer's Dis. 2015, 50, 233-248.
    • (2015) J. Alzheimer's Dis , vol.50 , pp. 233-248
    • Wang, S.1    Zhang, Y.2    Liu, G.3    Phillips, P.4    Yuan, T.F.5
  • 60
    • 84977465820 scopus 로고    scopus 로고
    • Pathological Brain Detection based on wavelet entropy and Hu moment invariants
    • Zhang, Y.; Wang, S.; Sun, P.; Phillips, P. Pathological Brain Detection based on wavelet entropy and Hu moment invariants. Bio-Med. Mater. Eng. 2015, 26, S1283-S1290.
    • (2015) Bio-Med. Mater. Eng , vol.26 , pp. S1283-S1290
    • Zhang, Y.1    Wang, S.2    Sun, P.3    Phillips, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.