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Volumn 70, Issue 2, 2010, Pages 263-275

Plant virus identification based on neural networks with evolutionary preprocessing

Author keywords

Artificial Neural Networks (ANNs); Bioelectric Recognition Assay (BERA); Data mining; Feature extraction; Genetic algorithms (GAs); Machine learning; Plant virus identification; Preprocessing techniques; Time series analysis

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; BIOELECTRIC RECOGNITION ASSAY (BERA); BIOELECTRIC RECOGNITION ASSAYS; MACHINE-LEARNING; PLANT VIRUS; PREPROCESSING TECHNIQUES;

EID: 74149087319     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2009.09.007     Document Type: Article
Times cited : (20)

References (56)
  • 1
    • 0742306458 scopus 로고    scopus 로고
    • Meta learning evolutionary artificial neural networks
    • Abraham A. Meta learning evolutionary artificial neural networks. Neurocomputing 56 (2004) 1-38
    • (2004) Neurocomputing , vol.56 , pp. 1-38
    • Abraham, A.1
  • 3
    • 58949100905 scopus 로고    scopus 로고
    • Forecasting histogram time series with k-nearest neighbours methods
    • 10.1016/j.ijforecast.2008.07.003
    • Arroyo J., and Maté C. Forecasting histogram time series with k-nearest neighbours methods. International Journal of Forecasting (2008) 10.1016/j.ijforecast.2008.07.003
    • (2008) International Journal of Forecasting
    • Arroyo, J.1    Maté, C.2
  • 4
    • 21844453935 scopus 로고    scopus 로고
    • Wood-water isotherm prediction with artificial neural networks: a preliminary study
    • Walter De Gruyter & Co., Berlin, New York ISSN: 0018-3830 59 (3), pp. 336-341
    • Avramidis S., and Iliadis L. Wood-water isotherm prediction with artificial neural networks: a preliminary study. Holzforschung (2005), Walter De Gruyter & Co., Berlin, New York ISSN: 0018-3830 59 (3), pp. 336-341
    • (2005) Holzforschung
    • Avramidis, S.1    Iliadis, L.2
  • 5
    • 0000437839 scopus 로고    scopus 로고
    • Prediction of extreme precipitation using a neural network: application to summer flood occurrence in Moravia
    • Bodri L., and Cermak V. Prediction of extreme precipitation using a neural network: application to summer flood occurrence in Moravia. Advances in Engineering Software 31 (2000) 311-321
    • (2000) Advances in Engineering Software , vol.31 , pp. 311-321
    • Bodri, L.1    Cermak, V.2
  • 8
    • 33751401308 scopus 로고    scopus 로고
    • Data preprocessing for river flow forecasting using neural networks: wavelet transforms and data partitioning
    • Cannas B., Fanni A., See L., and Sias G. Data preprocessing for river flow forecasting using neural networks: wavelet transforms and data partitioning. Physics and Chemistry of the Earth 31 (2006) 1164-1171
    • (2006) Physics and Chemistry of the Earth , vol.31 , pp. 1164-1171
    • Cannas, B.1    Fanni, A.2    See, L.3    Sias, G.4
  • 11
    • 33748325672 scopus 로고    scopus 로고
    • Immobilization of streptavidin in sol-gel films: application on the diagnosis of hepatitis C virus
    • dos Santos Riccardi C., Dahmouche K., Santilli C.V., da Costa P.I., and Yamanaka H. Immobilization of streptavidin in sol-gel films: application on the diagnosis of hepatitis C virus. Talanta 70 (2006) 637-643
    • (2006) Talanta , vol.70 , pp. 637-643
    • dos Santos Riccardi, C.1    Dahmouche, K.2    Santilli, C.V.3    da Costa, P.I.4    Yamanaka, H.5
  • 12
    • 36549078208 scopus 로고    scopus 로고
    • Analysis and test of efficient methods for building recursive deterministic perceptron neural networks
    • Elizondo D.A., Birkenhead R., Gongora M., Taillard E., and Luyima P. Analysis and test of efficient methods for building recursive deterministic perceptron neural networks. Neural Networks 20 (2007) 1095-1108
    • (2007) Neural Networks , vol.20 , pp. 1095-1108
    • Elizondo, D.A.1    Birkenhead, R.2    Gongora, M.3    Taillard, E.4    Luyima, P.5
  • 14
  • 15
    • 28844493616 scopus 로고    scopus 로고
    • Modeling a densely urbanized watershed with an artificial neural network, weather radar and telemetric data
    • Filho A.J.P., and dos Santos C.C. Modeling a densely urbanized watershed with an artificial neural network, weather radar and telemetric data. Journal of Hydrology 317 (2006) 31-48
    • (2006) Journal of Hydrology , vol.317 , pp. 31-48
    • Filho, A.J.P.1    dos Santos, C.C.2
  • 19
    • 0032599451 scopus 로고    scopus 로고
    • Time series prediction with genetic algorithm designed neural networks: an empirical comparison with modern statistical models
    • Hansen J.V., McDonald J.B., and Nelson R.D. Time series prediction with genetic algorithm designed neural networks: an empirical comparison with modern statistical models. Computational Intelligence 15 3 (1999)
    • (1999) Computational Intelligence , vol.15 , Issue.3
    • Hansen, J.V.1    McDonald, J.B.2    Nelson, R.D.3
  • 20
    • 33748424239 scopus 로고    scopus 로고
    • The effect of different basis functions on a radial basis function network for time series prediction: a comparative study
    • Harpham C., and Dawson C.W. The effect of different basis functions on a radial basis function network for time series prediction: a comparative study. Neurocomputing 69 (2006) 2161-2170
    • (2006) Neurocomputing , vol.69 , pp. 2161-2170
    • Harpham, C.1    Dawson, C.W.2
  • 21
    • 0031871764 scopus 로고    scopus 로고
    • Prediction of cirrhosis in patients with chronic hepatitis C infection by artificial neural network analysis of virus and clinical factors
    • Haydon G.H., Jalan R., Ala-Korpela M., Hiltunen Y., Hanley J., Jarvis L.M., Ludlum C.A., and Hayes P.C. Prediction of cirrhosis in patients with chronic hepatitis C infection by artificial neural network analysis of virus and clinical factors. Journal of Viral Hepatitis 5 (1998) 255-264
    • (1998) Journal of Viral Hepatitis , vol.5 , pp. 255-264
    • Haydon, G.H.1    Jalan, R.2    Ala-Korpela, M.3    Hiltunen, Y.4    Hanley, J.5    Jarvis, L.M.6    Ludlum, C.A.7    Hayes, P.C.8
  • 23
    • 33846813334 scopus 로고    scopus 로고
    • Hybrid neural network models for hydrologic time series forecasting
    • Jain A., and Kumar A.M. Hybrid neural network models for hydrologic time series forecasting. Applied Soft Computing 7 (2007) 585-592
    • (2007) Applied Soft Computing , vol.7 , pp. 585-592
    • Jain, A.1    Kumar, A.M.2
  • 24
    • 33746022312 scopus 로고    scopus 로고
    • Neural networks forecasting of flood discharge at an unmeasured station using river upstream information
    • Kerh T., and Lee C.S. Neural networks forecasting of flood discharge at an unmeasured station using river upstream information. Advances in Engineering Software 37 (2006) 533-543
    • (2006) Advances in Engineering Software , vol.37 , pp. 533-543
    • Kerh, T.1    Lee, C.S.2
  • 27
    • 33749829628 scopus 로고    scopus 로고
    • Effect of amino acids and amino acid analogues on the in vitro expression of glyphosate tolerance in johnsongrass (Sorghum halepense L. pers.)
    • Kintzios S., Makrygianni E.F., Pistola E., Panagiotopoulos P., and Economou G. Effect of amino acids and amino acid analogues on the in vitro expression of glyphosate tolerance in johnsongrass (Sorghum halepense L. pers.). Journal of Food, Agriculture and Environment 3 (2003) 180-184
    • (2003) Journal of Food, Agriculture and Environment , vol.3 , pp. 180-184
    • Kintzios, S.1    Makrygianni, E.F.2    Pistola, E.3    Panagiotopoulos, P.4    Economou, G.5
  • 30
    • 54549100404 scopus 로고    scopus 로고
    • Extracting symbolic knowledge from recurrent neural networks-a fuzzy logic approach
    • Kolman E., and Margaliot M. Extracting symbolic knowledge from recurrent neural networks-a fuzzy logic approach. Fuzzy Sets and Systems 160 (2009) 145-161
    • (2009) Fuzzy Sets and Systems , vol.160 , pp. 145-161
    • Kolman, E.1    Margaliot, M.2
  • 31
    • 0038416631 scopus 로고    scopus 로고
    • Combining classifiers by clustering, selection and decision templates
    • Technical report. University of Wales, UK
    • Kuncheva, L., 2000. Combining classifiers by clustering, selection and decision templates. Technical report. University of Wales, UK.
    • (2000)
    • Kuncheva, L.1
  • 32
    • 56349157405 scopus 로고    scopus 로고
    • Evolving and clustering fuzzy decision tree for financial time series data forecasting
    • Lai R.K., Fan C.Y., Huang W.H., and Chang P.C. Evolving and clustering fuzzy decision tree for financial time series data forecasting. Expert Systems with Applications 36 (2009) 3761-3773
    • (2009) Expert Systems with Applications , vol.36 , pp. 3761-3773
    • Lai, R.K.1    Fan, C.Y.2    Huang, W.H.3    Chang, P.C.4
  • 33
    • 33847395392 scopus 로고    scopus 로고
    • RLDDE: a novel reinforcement learning-based dimension and delay estimator for neural networks in time series prediction
    • Liu F., Ng G.S., and Quek C. RLDDE: a novel reinforcement learning-based dimension and delay estimator for neural networks in time series prediction. Neurocomputing 70 (2007) 1331-1341
    • (2007) Neurocomputing , vol.70 , pp. 1331-1341
    • Liu, F.1    Ng, G.S.2    Quek, C.3
  • 34
    • 54149110925 scopus 로고    scopus 로고
    • A new strategy for wind speed forecasting using artificial intelligent methods
    • Monfared M., Rastegar H., and Kojabadi H.M. A new strategy for wind speed forecasting using artificial intelligent methods. Renewable Energy 34 (2009) 845-848
    • (2009) Renewable Energy , vol.34 , pp. 845-848
    • Monfared, M.1    Rastegar, H.2    Kojabadi, H.M.3
  • 36
    • 0031207539 scopus 로고    scopus 로고
    • An intelligent approach for optimal control of fruit-storage process using neural networks and genetic algorithms
    • Morimoto T., de Baerdemaeker J., and Hashimoto Y. An intelligent approach for optimal control of fruit-storage process using neural networks and genetic algorithms. Computers and Electronics in Agriculture 18 (1997) 205-224
    • (1997) Computers and Electronics in Agriculture , vol.18 , pp. 205-224
    • Morimoto, T.1    de Baerdemaeker, J.2    Hashimoto, Y.3
  • 37
    • 0042510907 scopus 로고    scopus 로고
    • Application of artificial neural network to the rapid feed back of potential ecological risk in flood diversion zone
    • Ni J.R., and Xue A. Application of artificial neural network to the rapid feed back of potential ecological risk in flood diversion zone. Engineering Applications of Artificial Intelligence 16 (2003) 105-119
    • (2003) Engineering Applications of Artificial Intelligence , vol.16 , pp. 105-119
    • Ni, J.R.1    Xue, A.2
  • 38
    • 0033044637 scopus 로고    scopus 로고
    • Machine learning approaches for the prediction of signal peptides and other protein sorting signals
    • Nielsen H., Brunak S., and von Heijne G. Machine learning approaches for the prediction of signal peptides and other protein sorting signals. Protein Engineering 12 1 (1999) 3-9
    • (1999) Protein Engineering , vol.12 , Issue.1 , pp. 3-9
    • Nielsen, H.1    Brunak, S.2    von Heijne, G.3
  • 40
    • 58049168378 scopus 로고    scopus 로고
    • Dempster-Shafer regression for multi-step-ahead time-series prediction towards data-driven machinery prognosis
    • 10.1016/j.ymssp.2008.08.004
    • Niu G., and Yang B.-S. Dempster-Shafer regression for multi-step-ahead time-series prediction towards data-driven machinery prognosis. Mechanical Systems and Signal Processing (2008) 10.1016/j.ymssp.2008.08.004
    • (2008) Mechanical Systems and Signal Processing
    • Niu, G.1    Yang, B.-S.2
  • 41
    • 33745933319 scopus 로고    scopus 로고
    • Designing an artificial neural network for forecasting tourism time series
    • Palmer A., Montano J.-J., and Sese A. Designing an artificial neural network for forecasting tourism time series. Tourism Management 27 (2005) 781-790
    • (2005) Tourism Management , vol.27 , pp. 781-790
    • Palmer, A.1    Montano, J.-J.2    Sese, A.3
  • 43
    • 10244243684 scopus 로고    scopus 로고
    • Meta-learning approaches to selecting time series models
    • Prudencio R.B.C., and Ludermir T.B. Meta-learning approaches to selecting time series models. Neurocomputing 61 (2004) 121-137
    • (2004) Neurocomputing , vol.61 , pp. 121-137
    • Prudencio, R.B.C.1    Ludermir, T.B.2
  • 44
    • 33845620661 scopus 로고    scopus 로고
    • Application of neural approaches to one-step daily flow forecasting in Portuguese watersheds
    • Pulido-Calvo L., and Portela M.M. Application of neural approaches to one-step daily flow forecasting in Portuguese watersheds. Journal of Hydrology 332 (2007) 1-15
    • (2007) Journal of Hydrology , vol.332 , pp. 1-15
    • Pulido-Calvo, L.1    Portela, M.M.2
  • 46
    • 33746217873 scopus 로고    scopus 로고
    • Use of neural network to predict flash flood and attendant water qualities of a mountainous stream on Oahu, Hawaii
    • Sahoo G.B., Ray C., and de Carlo E.H. Use of neural network to predict flash flood and attendant water qualities of a mountainous stream on Oahu, Hawaii. Journal of Hydrology 327 (2006) 525-538
    • (2006) Journal of Hydrology , vol.327 , pp. 525-538
    • Sahoo, G.B.1    Ray, C.2    de Carlo, E.H.3
  • 47
    • 33746632543 scopus 로고    scopus 로고
    • Unfolding preprocessing for meaningful time series clustering
    • Simon G., Lee J.A., and Verleysen M. Unfolding preprocessing for meaningful time series clustering. Neural Networks 19 (2006) 877-888
    • (2006) Neural Networks , vol.19 , pp. 877-888
    • Simon, G.1    Lee, J.A.2    Verleysen, M.3
  • 48
    • 33845621875 scopus 로고    scopus 로고
    • A hybrid approach for feature subset selection using neural networks and ant colony optimization
    • Sivagaminathan R.K., and Ramakrishnan S. A hybrid approach for feature subset selection using neural networks and ant colony optimization. Expert Systems with Applications 33 (2007) 49-60
    • (2007) Expert Systems with Applications , vol.33 , pp. 49-60
    • Sivagaminathan, R.K.1    Ramakrishnan, S.2
  • 49
    • 18844467253 scopus 로고    scopus 로고
    • Piezoelectric biosensors for real-time monitoring of hybridization and detection of hepatitis C virus
    • Skládal P., dos Santos Riccardi C., Yamanaka H., and da Costa P.I. Piezoelectric biosensors for real-time monitoring of hybridization and detection of hepatitis C virus. Journal of Virological Methods 117 (2004) 145-151
    • (2004) Journal of Virological Methods , vol.117 , pp. 145-151
    • Skládal, P.1    dos Santos Riccardi, C.2    Yamanaka, H.3    da Costa, P.I.4
  • 50
    • 0037737655 scopus 로고    scopus 로고
    • Assessing the feasibility of using neural precursor cells and peripheral blood mononuclear cells for detection of bioactive Sindbis virus
    • Thach D.C., Shaffer K.M., Ma W., and Stenger D.A. Assessing the feasibility of using neural precursor cells and peripheral blood mononuclear cells for detection of bioactive Sindbis virus. Biosensors and Bioelectronics 18 (2003) 1065-1072
    • (2003) Biosensors and Bioelectronics , vol.18 , pp. 1065-1072
    • Thach, D.C.1    Shaffer, K.M.2    Ma, W.3    Stenger, D.A.4
  • 52
    • 0037061487 scopus 로고    scopus 로고
    • Artificial neural network based predictive method for flood disaster
    • Wei Y., Xu W., Fan Y., and Tasi H.T. Artificial neural network based predictive method for flood disaster. Computers and Industrial Engineering 42 (2002) 383-390
    • (2002) Computers and Industrial Engineering , vol.42 , pp. 383-390
    • Wei, Y.1    Xu, W.2    Fan, Y.3    Tasi, H.T.4
  • 53
    • 65749118118 scopus 로고    scopus 로고
    • Methods to improve neural network performance in daily flows prediction
    • Wu C.L., Chau K.W., and Li Y.S. Methods to improve neural network performance in daily flows prediction. Journal of Hydrology 372 (2009) 80-93
    • (2009) Journal of Hydrology , vol.372 , pp. 80-93
    • Wu, C.L.1    Chau, K.W.2    Li, Y.S.3
  • 54
    • 54949117176 scopus 로고    scopus 로고
    • Detecting outlier samples in multivariate time series dataset
    • Weng X., and Shen J. Detecting outlier samples in multivariate time series dataset. Knowledge-Based Systems 21 (2008) 807-812
    • (2008) Knowledge-Based Systems , vol.21 , pp. 807-812
    • Weng, X.1    Shen, J.2
  • 55
    • 34249333500 scopus 로고    scopus 로고
    • Time series prediction with single multiplicative neuron model
    • Yadav R.N., Kalra P.K., and John J. Time series prediction with single multiplicative neuron model. Applied Soft Computing 7 (2007) 1157-1163
    • (2007) Applied Soft Computing , vol.7 , pp. 1157-1163
    • Yadav, R.N.1    Kalra, P.K.2    John, J.3
  • 56
    • 4344591889 scopus 로고    scopus 로고
    • Neural network forecasting for seasonal and trend time series
    • Zhang G.P., and Qi M. Neural network forecasting for seasonal and trend time series. European Journal of Operational Research 160 (2005) 501-514
    • (2005) European Journal of Operational Research , vol.160 , pp. 501-514
    • Zhang, G.P.1    Qi, M.2


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