Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm
- 31 December 2009
- journal article
- Published by Elsevier BV in Neurocomputing
- Vol. 73 (1-3), 449-460
- https://doi.org/10.1016/j.neucom.2009.07.005
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- Applying Wavelets to Short-Term Load Forecasting Using PSO-Based Neural NetworksIEEE Transactions on Power Systems, 2009
- Time series prediction with recurrent neural networks trained by a hybrid PSO–EA algorithmNeurocomputing, 2007
- Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimizationComputers & Operations Research, 2006
- Comparison among five evolutionary-based optimization algorithmsAdvanced Engineering Informatics, 2005
- Load Forecasting Using Support Vector Machines: A Study on EUNITE Competition 2001IEEE Transactions on Power Systems, 2004
- A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR SystemIEEE Transactions on Energy Conversion, 2004
- Particle Swarm Optimization Versus Genetic Algorithms for Phased Array SynthesisIEEE Transactions on Antennas and Propagation, 2004
- Annealing robust radial basis function networks for function approximation with outliersNeurocomputing, 2004
- Comparison between genetic algorithms and particle swarm optimizationLecture Notes in Computer Science, 1998
- Short-Term Load Forecasting Using General Exponential SmoothingIEEE Transactions on Power Apparatus and Systems, 1971