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Volumn 1, Issue 1, 1998, Pages 52-61

Resolution of pattern recognition problems using a hybrid genetic/random neural network learning algorithm

Author keywords

Associative memory; Evolutionary learning; Genetic algorithm; Gradient descent rule; Pattern recognition; Random Neural Network

Indexed keywords


EID: 22444454216     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01238026     Document Type: Article
Times cited : (23)

References (18)
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  • 4
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    • Learning in the recurrent Random Neural Network
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    • Gelenbe, E.1
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    • Gelenbe E. Random neural networks with positive and negative signals and product form solution. Neural Computation 1989; 1(4): 502-510
    • (1989) Neural Computation , vol.1 , Issue.4 , pp. 502-510
    • Gelenbe, E.1
  • 10
    • 0000145931 scopus 로고
    • Stable random neural networks
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    • Gelenbe, E.1
  • 12
    • 0029767537 scopus 로고    scopus 로고
    • Using the general energy function of the Random Neural Networks to solve the graph partitioning problem
    • Aguilar J. Using the general energy function of the Random Neural Networks to solve the graph partitioning problem. Pro-ceedings IEEE International Conference Neural Networks 1996; 2130-2135
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    • A general method to solve combinatorial optimization problems with the Random Neural Networks
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    • An approach for combinatorial optimization problem based on learning in the recurrent random neural network
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.