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» A Simple Fuzzy Neural Network
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ICANN
2005
Springer
14 years 1 months ago
Short Term Memory and Pattern Matching with Simple Echo State Networks
Two recently proposed approaches to recognize temporal patterns have been proposed by J¨ager with the so called Echo State Network (ESN) and by Maass with the so called Liquid Sta...
Georg Fette, Julian Eggert
CEC
2008
IEEE
13 years 9 months ago
Efficient evolution of ART neural networks
Abstract-- Genetic algorithms have been used to evolve several neural network architectures. In a previous effort, we introduced the evolution of three well known ART architects; F...
Assem Kaylani, Michael Georgiopoulos, Mansooreh Mo...
IJCNN
2007
IEEE
14 years 2 months ago
Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory
— In the process of learning a pattern I, the Fuzzy ARTMAP algorithm templates (i.e., the weight vectors corresponding to nodes of its category representation layer) compete for ...
José Castro, Michael Georgiopoulos, Jimmy S...
NIPS
1996
13 years 9 months ago
Monotonicity Hints
: Neural networks are competitive tools for classification problems. In this context, a hint is any piece of prior side information about the classification. Common examples are mo...
Joseph Sill, Yaser S. Abu-Mostafa
NN
2000
Springer
128views Neural Networks» more  NN 2000»
13 years 7 months ago
A recurrent neural network for solving linear projection equations
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
Youshen Xia, Jun Wang