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Volumn 205, Issue 2, 2008, Pages 622-627

Fast unit pruning algorithm for feedforward neural network design

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BOOLEAN FUNCTIONS; FEEDFORWARD NEURAL NETWORKS; IMAGE CLASSIFICATION; LEARNING ALGORITHMS; NETWORK PROTOCOLS; OPTICAL SWITCHES; SENSOR NETWORKS; VEGETATION;

EID: 54449083953     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2008.05.049     Document Type: Article
Times cited : (30)

References (9)
  • 5
    • 0033351413 scopus 로고    scopus 로고
    • Statistical method of pruning neural networks
    • Lo J.T. Statistical method of pruning neural networks. Neural Networks 3 (1999) 1678-1680
    • (1999) Neural Networks , vol.3 , pp. 1678-1680
    • Lo, J.T.1
  • 7
    • 54449086653 scopus 로고    scopus 로고
    • Penalty OBS scheme for feedforward neural network
    • Meng J. Penalty OBS scheme for feedforward neural network. Tools with Artificial Intelligence (2005) 5
    • (2005) Tools with Artificial Intelligence , pp. 5
    • Meng, J.1
  • 8
    • 34147125499 scopus 로고    scopus 로고
    • Kieron Messer, Fast Unit Selection Algorithm for Neural Network Design. Pattern Recognition, 2000. Proceedings 15th International Conference, 2 (2000) 981-984.
    • Kieron Messer, Fast Unit Selection Algorithm for Neural Network Design. Pattern Recognition, 2000. Proceedings 15th International Conference, 2 (2000) 981-984.
  • 9
    • 54449097718 scopus 로고    scopus 로고
    • K. Messer, J. Kittler, Choosing an optimal neural network size to aid search through a large image database. Proceedings of the British Machine Vision Conference BMVC98, 1998, p. 235-244.
    • K. Messer, J. Kittler, Choosing an optimal neural network size to aid search through a large image database. Proceedings of the British Machine Vision Conference BMVC98, 1998, p. 235-244.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.