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MICAI
2007
Springer
16 years 5 days ago
On Conditions for Intermittent Search in Self-organizing Neural Networks
Self-organizing neural networks (SONN) driven by softmax weight renormalization are capable of finding high quality solutions of difficult assignment optimization problems. The r...
Peter Tino
CEC
2005
IEEE
15 years 8 months ago
Co-evolutionary modular neural networks for automatic problem decomposition
Abstract- Decomposing a complex computational problem into sub-problems, which are computationally simpler to solve individually and which can be combined to produce a solution to ...
Vineet R. Khare, Xin Yao, Bernhard Sendhoff, Yaoch...
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
15 years 11 months ago
RABNET: a real-valued antibody network for data clustering
This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demons...
Helder Knidel, Leandro Nunes de Castro, Fernando J...
GAMEON
2001
15 years 7 months ago
A New Computational Approach to the Game of Go
This paper investigates the application of neural network techniques to the creation of a program that can play the game of Go with some degree of success. The combination of soft...
Julian Churchill, Richard Cant, David Al-Dabass
ICAI
2008
15 years 7 months ago
A Tabu Based Neural Network Training Algorithm for Equalization of Communication Channels
: This paper presents a new approach to equalization of communication channels using Artificial Neural Networks (ANNs). A novel method of training the ANNs using Tabu based Back Pr...
Jitendriya Kumar Satapathy, Konidala Ratna Subhash...