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» Neural Networks - A Systematic Introduction
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ESOA
2006
13 years 10 months ago
Design Patterns for Decentralised Coordination in Self-organising Emergent Systems
There is little or no guidance to systematically design a self-organising emergent solution that achieves the desired macroscopic behaviour. This paper describes decentralised coor...
Tom De Wolf, Tom Holvoet
ICANN
2003
Springer
14 years 6 days ago
Neural Network Ensemble with Negatively Correlated Features for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it ex...
Hong-Hee Won, Sung-Bae Cho
IJCNN
2007
IEEE
14 years 1 months ago
TRUST-TECH Based Neural Network Training
— Efficient Training in a neural network plays a vital role in deciding the network architecture and the accuracy of these classifiers. Most popular local training algorithms t...
Hsiao-Dong Chiang, Chandan K. Reddy
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
14 years 1 months ago
Evolving symmetric and modular neural networks for distributed control
Problems such as the design of distributed controllers are characterized by modularity and symmetry. However, the symmetries useful for solving them are often difficult to determ...
Vinod K. Valsalam, Risto Miikkulainen
CIBCB
2007
IEEE
13 years 11 months ago
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
Ji He, Xinbin Dai, Xuechun Zhao