An evolutionary approach to associative memory in recurrent neural networks

Shigetaka Fujita; H. Nishimura

doi:10.1007/bf02310936

ScienceGate Book Chapters

JOURNAL ARTICLE

An evolutionary approach to associative memory in recurrent neural networks

Shigetaka Fujita H. Nishimura

Year: 1994 Journal: Neural Processing Letters Vol: 1 (2)Pages: 9-13 Publisher: Springer Science+Business Media

DOI: 10.1007/bf02310936

Get Full-Text PDF Get Analytical Report

Keywords:

Content-addressable memory Artificial neural network Bidirectional associative memory Computational intelligence Computer science Recurrent neural network Associative property Types of artificial neural networks Artificial intelligence Hopfield network Physical neural network Neural system Complex system Nervous system network models Neuroscience Mathematics Biology

Metrics

Cited By

0.44

FWCI (Field Weighted Citation Impact)

Refs

0.72

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Neural dynamics and brain function

Life Sciences → Neuroscience → Cognitive Neuroscience

Neural Networks Stability and Synchronization

Physical Sciences → Computer Science → Computer Networks and Communications

An evolutionary approach to associative memory in recurrent neural networks

Metrics

Citation History

Topics

Related Documents

Recurrent Neural Networks: Associative Memory and Optimization

Learning rule for associative memory in recurrent neural networks

Associative memory by recurrent neural networks with delay elements

Associative Memory Synthesis Based on Region Attractive Recurrent Neural Networks

Nonequilibrium Thermodynamics of Associative Memory Continuous-Time Recurrent Neural Networks