메뉴 건너뛰기




Volumn 23, Issue 4, 2008, Pages 273-283

A new solution for automatic microstructures analysis from images based on a backpropagation artificial neural network

Author keywords

Artificial neural networks; Image processing and analysis; Image segmentation and quantification; Materials science; Microstructures; Multilayer perception

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; CAST IRON; DIGITAL IMAGE STORAGE; ELECTRIC NETWORK TOPOLOGY; GROWTH (MATERIALS); IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; IRON ORE TREATMENT; KETONES; MALLEABLE IRON CASTINGS; MATERIALS; MATERIALS SCIENCE; METAL CASTING; MICROSTRUCTURE; MULTILAYER NEURAL NETWORKS; MULTILAYERS; NETWORK PROTOCOLS; SENSOR NETWORKS; VEGETATION;

EID: 54949117978     PISSN: 10589759     EISSN: 14772671     Source Type: Journal    
DOI: 10.1080/10589750802258986     Document Type: Article
Times cited : (82)

References (22)
  • 4
    • 0003794792 scopus 로고
    • Experiments on learning by backpropagation, Computer Science Department Carnegie - Mellon University
    • D Plaut, S. Nowlan, and G.E. Hinton, Experiments on learning by backpropagation, Computer Science Department Carnegie - Mellon University, Technical Report CMU-CS (1986), pp. 86-126.
    • (1986) Technical Report CMU-CS , pp. 86-126
    • Plaut, D.1    Nowlan, S.2    Hinton, G.E.3
  • 9
    • 0033581048 scopus 로고    scopus 로고
    • The effects of heat treatment on microstructure and erosion properties of laser surface-clad Ni-base alloy
    • D. Zhang, T.C. Leia, Z. Zhang, and J. Ouyang, The effects of heat treatment on microstructure and erosion properties of laser surface-clad Ni-base alloy, Surf, and Coat. Tech. 115 (1999), pp. 176-183.
    • (1999) Surf, and Coat. Tech , vol.115 , pp. 176-183
    • Zhang, D.1    Leia, T.C.2    Zhang, Z.3    Ouyang, J.4
  • 10
    • 0033309515 scopus 로고    scopus 로고
    • Neural networks in materials science
    • H.K.D.H. Bhadeshia, Neural networks in materials science, ISIJ International 39 (1999), pp. 966-979.
    • (1999) ISIJ International , vol.39 , pp. 966-979
    • Bhadeshia, H.K.D.H.1
  • 12
    • 0036823035 scopus 로고    scopus 로고
    • Microstructural evolution and modelling of the hot compression of a TC6 titanium alloy
    • L. Miaoquan, X. Liu, A. Xiong, and X. Li, Microstructural evolution and modelling of the hot compression of a TC6 titanium alloy, Mat. Charact 49 (2003), pp. 203-209.
    • (2003) Mat. Charact , vol.49 , pp. 203-209
    • Miaoquan, L.1    Liu, X.2    Xiong, A.3    Li, X.4
  • 13
    • 0037052517 scopus 로고    scopus 로고
    • An adaptive prediction model of grain size for the forging of Ti-6Al-4V alloy based on the fuzzy neural networks
    • L. Miaoquan, X. Liu, A. Xiong, and X. Li, An adaptive prediction model of grain size for the forging of Ti-6Al-4V alloy based on the fuzzy neural networks, J. of Mat. Proc. Tech. 123 (2002), pp. 377-381.
    • (2002) J. of Mat. Proc. Tech , vol.123 , pp. 377-381
    • Miaoquan, L.1    Liu, X.2    Xiong, A.3    Li, X.4
  • 14
    • 0037144786 scopus 로고    scopus 로고
    • Modelling of microstructure and mechanical properties of steel using the artificial neural network
    • J. Kusiak and R. Kuziak, Modelling of microstructure and mechanical properties of steel using the artificial neural network, J. of Mat. Proc. Tech. 127 (2002), pp. 115-121.
    • (2002) J. of Mat. Proc. Tech , vol.127 , pp. 115-121
    • Kusiak, J.1    Kuziak, R.2
  • 15
    • 25844448136 scopus 로고    scopus 로고
    • X. Li and L. Miaoquan, Microstructure evolution model based on deformation mechanism of titanium alloy in hot forming, Trans. of Non Ferrous Metals Soc. of China 15 (2005), pp. 749-753.
    • X. Li and L. Miaoquan, Microstructure evolution model based on deformation mechanism of titanium alloy in hot forming, Trans. of Non Ferrous Metals Soc. of China 15 (2005), pp. 749-753.
  • 16
    • 0346873996 scopus 로고    scopus 로고
    • Prediction of welding parameters for pipeline welding using an intelligent system
    • I. Kim, Y. Jeong, C. Lee, and P. Yarlagadda, Prediction of welding parameters for pipeline welding using an intelligent system, Int. J. of Adv. Manuf. Tech. 22 (2003), pp. 713-719.
    • (2003) Int. J. of Adv. Manuf. Tech , vol.22 , pp. 713-719
    • Kim, I.1    Jeong, Y.2    Lee, C.3    Yarlagadda, P.4
  • 17
    • 36048941159 scopus 로고    scopus 로고
    • Artificial neural network models for predicting flow stress and microstructure evolution of a hydrogenized titanium alloy
    • O. Wang, J. Lai, and D. Sun, Artificial neural network models for predicting flow stress and microstructure evolution of a hydrogenized titanium alloy, Key Eng. Mat. (2007), pp. 541-544.
    • (2007) Key Eng. Mat , pp. 541-544
    • Wang, O.1    Lai, J.2    Sun, D.3
  • 18
    • 0033581048 scopus 로고    scopus 로고
    • The effects of heat treatment on microstructure and erosion properties of laser surface-clad Ni-base alloy
    • D. Zhang, T.C. Leia, Z. Zhang, and J. Ouyang, The effects of heat treatment on microstructure and erosion properties of laser surface-clad Ni-base alloy, Surf, and Coat. Tech. 115 (1999), pp. 176-183.
    • (1999) Surf, and Coat. Tech , vol.115 , pp. 176-183
    • Zhang, D.1    Leia, T.C.2    Zhang, Z.3    Ouyang, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.