Training Artificial Neural Networks by a Hybrid PSO-CS Algorithm

Presenting a satisfactory and efficient training algorithm for artificial neural networks (ANN) has been a challenging task in the supervised learning area. Particle swarm optimization (PSO) is one of the most widely used algorithms due to its simplicity of implementation and fast convergence speed....

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Bibliographic Details
Main Authors: Jeng-Fung Chen, Quang Hung Do, Ho-Nien Hsieh
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Algorithms
Subjects:
Online Access:http://www.mdpi.com/1999-4893/8/2/292