A Particle Swarm Optimization based on a Generalized Regression Neural Network for Electrical Engineering Applications
碩士 === 正修科技大學 === 電機工程研究所 === 96 === This thesis includes two parts: Part 1: This paper uses a fitness function of Particle Swarm Optimizer with Time-Varying Acceleration Coefficients (PSO-TVAC), which is built with a Generalized Regression Neural Network (GRNN) model and used actual input/output da...
Main Authors: | Lu, Cheng-Hong, 呂昌鴻 |
---|---|
Other Authors: | 鄭富升 |
Format: | Others |
Language: | zh-TW |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/13969811561130961903 |
Similar Items
-
Power Load Forecasting of General Regression Neural Network Based on Particle Swarm Optimization
by: Wei Wang
Published: (2018-07-01) -
A Study of Particle Swarm Optimization Algorithm Combined with the General Regression Neural Network to Predict TAIEX
by: Chen chih chao, et al.
Published: (2014) -
Artificial Neural Networks Training by Particle Swarm Optimization
by: Jyun-Wei Jhang, et al.
Published: (2007) -
Particle swarm optimization for neural network learning enhancement
by: Abdull Hamed, Haza Nuzly
Published: (2006) -
Forecasting Electrical Energy Consumption of Equipment Maintenance Using Neural Network and Particle Swarm Optimization
by: Xunlin Jiang, et al.
Published: (2013-01-01)