Selective Learning for Multilayer Feedforward Neural Networks

Andries P. Engelbrecht

doi:10.1007/3-540-45720-8_45

ScienceGate Book Chapters

BOOK-CHAPTER

Selective Learning for Multilayer Feedforward Neural Networks

Andries P. Engelbrecht

Year: 2001 Lecture notes in computer science Pages: 386-393 Publisher: Springer Science+Business Media

DOI: 10.1007/3-540-45720-8_45

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Artificial neural network Feed forward Sensitivity (control systems) Artificial intelligence Feedforward neural network Selection (genetic algorithm) Competitive learning Machine learning Control engineering

Metrics

Cited By

0.28

FWCI (Field Weighted Citation Impact)

Refs

0.56

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and Algorithms

Physical Sciences → Computer Science → Artificial Intelligence

Model Reduction and Neural Networks

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Selective Learning for Multilayer Feedforward Neural Networks

Metrics

Citation History

Topics

Related Documents

MULTILAYER FEEDFORWARD NEURAL NETWORKS II: OPTIMIZING LEARNING METHODS

Efficient supervised learning of multilayer feedforward neural networks

MULTILAYER FEEDFORWARD NEURAL NETWORKS I: DELTA RULE LEARNING

Optimal learning algorithm for multilayer feedforward neural networks

A Selective Learning Method to Improve the Generalization of Multilayer Feedforward Neural Networks