STUDY OF POWER LOAD FORECASTING BY NEURAL NETWORK WITH DYNAMIC STRUCTURE
博士 === 國立中山大學 === 電機工程學系研究所 === 89 === ABSTRACT In this thesis, some aspects of the non-fixed neural network for power load forecasting are discussed. Unlike traditional fixed neural network technique, the structure of neural network is non-fixed during its training and testing phases. Based on t...
Main Authors: | Huang-Chu Huang, 黃煌初 |
---|---|
Other Authors: | Jer-Guang Hsieh |
Format: | Others |
Language: | en_US |
Published: |
2001
|
Online Access: | http://ndltd.ncl.edu.tw/handle/40469208642878787846 |
Similar Items
-
Study of Power Load Forecasting System Modeling With a Parallel Neural Network
by: Ching-Chun Huang, et al.
Published: (2005) -
The Forecasting of Rolled Steel Bars'' Mechanical Properties by Neural Networks
by: Hwe-Chu Hwang, et al.
Published: (2002) -
Application of Chaos and Neural Network in Power Load Forecasting
by: Li Li, et al.
Published: (2011-01-01) -
Power Load Forecasting by Using Quantum Neural Network
by: Chang-Teh Lee, et al.
Published: (2004) -
Power Load Forecasting and the S&P500 Index Forecasting by Artificial Neural Network
by: Chou, Yulin, et al.
Published: (2013)