Training neural networks using Central Force Optimization and Particle Swarm Optimization: Insights and comparisons
- 31 January 2012
- journal article
- Published by Elsevier BV in Expert Systems with Applications
- Vol. 39 (1), 555-563
- https://doi.org/10.1016/j.eswa.2011.07.046
Abstract
No abstract availableThis publication has 17 references indexed in Scilit:
- Parameter-Free Deterministic Global Search with Simplified Central Force OptimizationLecture Notes in Computer Science, 2010
- IMPROVED CFO ALGORITHM FOR ANTENNA OPTIMIZATIONProgress In Electromagnetics Research B, 2010
- Classification of mental task from EEG data using neural networks based on particle swarm optimizationNeurocomputing, 2009
- Central force optimisation: a new gradient-like metaheuristic for multidimensional search and optimisationInternational Journal of Bio-Inspired Computation, 2009
- Particle swarm optimizationSwarm Intelligence, 2007
- CENTRAL FORCE OPTIMIZATION: A NEW METAHEURISTIC WITH APPLICATIONS IN APPLIED ELECTROMAGNETICSProgress In Electromagnetics Research, 2007
- A Cooperative Approach to Particle Swarm OptimizationIEEE Transactions on Evolutionary Computation, 2004
- Recent Advances in the Prediction of Blood–Brain Partitioning from Molecular StructureJournal of Pharmaceutical Sciences, 2003
- A new optimizer using particle swarm theoryPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Advanced supervised learning in multi-layer perceptrons — From backpropagation to adaptive learning algorithmsComputer Standards & Interfaces, 1994