Non-homogenous neural networks with chaotic recursive nodes: Connectivity and multi-assemblies structures in recursive processing elements architectures-Reference-Cited by-同舟云学术

Non-homogenous neural networks with chaotic recursive nodes: Connectivity and multi-assemblies structures in recursive processing elements architectures

Published:2005-07 Issue:5-6 Volume:18 Page:532-540
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Del Moral Hernandez Emilio

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference18 articles.

1. Artificial neural networks based on bifurcating recursive processing elements;Del-Moral-Hernandez,1998

2. Studying neural networks of bifurcating recursive processing elements—quantitative methods for architecture design (2084);Del-Moral-Hernandez,2001

3. Neural networks with chaotic recursive nodes: techniques for the design of associative memories, contrast with Hopfield architectures, and extensions for time-dependent inputs;Del-Moral-Hernandez;Neural Networks,2003

4. Del-Moral-Hernandez, E. (2005). Non-homogenous structures in neural networks with chaotic recursive nodes: Dealing with diverse multi-assemblies architectures, connectivity and arbitrary bifurcating nodes. Proceedings of the international joint conference on neural networks, July 31–August 4, 2005, Montreal, Canada.

5. Analog realization of arbitrary one dimensional maps;Del-Moral-Hernandez;IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications,2003

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1. Design of a chaotic neural network for training and retrieval of grayscale and binary patterns;Neurocomputing;2011-10

2. Design of Chaotic Neural Network for Robust Phoneme Recognition;2008 IEEE International Symposium on Signal Processing and Information Technology;2008-12

3. RPE-BAM networks: Bidirectional heteroassociation in neural networks of recursive nodes with rich dynamics;2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence);2008-06

4. Design of a chaotic neural network by using chaotic nodes and NDRAM network;2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence);2008-06

5. Recursive Nodes with Rich Dynamics as Modeling Tools for Cognitive Functions;Understanding Complex Systems