Neural Networks and Computing: Learning Algorithms and Applications

Authors:
Tommy W. S. Chow
Affiliations:
-
Venue:
Neural Networks and Computing: Learning Algorithms and Applications
Year:
2007

Citing 0
Cited 4

Channel selection and classification of electroencephalogram signals: An artificial neural network and genetic algorithm-based approach

Artificial Intelligence in Medicine
Suboptimal Solutions to Team Optimization Problems with Stochastic Information Structure

SIAM Journal on Optimization
Context information prediction for social-based routing in opportunistic networks

Ad Hoc Networks
Hierarchical extreme learning machine for feedforward neural network

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This book covers neural networks with special emphasis on advanced learning methodologies and applications. It includes practical issues of weight initializations, stalling of learning, and escape from a local minima, which have not been covered by many existing books in this area. Additionally, the book highlights the important feature selection problem, which baffles many neural networks practitioners because of the difficulties handling large datasets. It also contains several interesting IT, engineering and bioinformatics applications.