Determining the memory capacity of an Elman recurrent neural network

Intelligent Engineering Systems Through Artificial Neural Networks

Volumn 1998, Issue , 1998, Pages 37-42

  Greene, Kelly A ^a   Bauer Jr , Kenneth W ^a   Kabrisky, Matthew ^a   Rogers, Steven K ^b   Wilson, Glenn F ^c  

^a Air Force Institute of Technology

^b BATTELLE MEMORIAL INSTITUTE   (United States)

^c AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MEMORY CAPACITY; UNFOLDED LAYERS; UNFOLDING THROUGH TIME; WAVE AMPLITUDE DETECTION PROBLEM;

CALCULATIONS; LEARNING SYSTEMS; PATTERN RECOGNITION; STATISTICAL METHODS; STORAGE ALLOCATION (COMPUTER);

RECURRENT NEURAL NETWORKS;

EID: 0032297951     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (10)

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10. Steppe, J.M. and K.W. Bauer (1997). Feature saliency measures, Computers & Mathematics with Applications, Vol 33, No 8, 109-126.