The Study of Fast Learning Method of Network
碩士 === 義守大學 === 電機工程學系碩士班 === 94 === The aim of this research is trying to solve and overcome the shortcomings of neural network with traditional error back-propagation (BP) learning algorithm. The modified learning algorithm is basically developed by using the technique of linear optimal solution a...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2006
|
Online Access: | http://ndltd.ncl.edu.tw/handle/92020499469415071408 |
id |
ndltd-TW-094ISU05442033 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-094ISU054420332015-10-13T14:49:54Z http://ndltd.ncl.edu.tw/handle/92020499469415071408 The Study of Fast Learning Method of Network 類神經網路快速學習之研究探討 Yu-Chuang Liu 劉育昌 碩士 義守大學 電機工程學系碩士班 94 The aim of this research is trying to solve and overcome the shortcomings of neural network with traditional error back-propagation (BP) learning algorithm. The modified learning algorithm is basically developed by using the technique of linear optimal solution and BP learning way. Such a combinational learning method not only make neural model have faster learning speed, but also make neural model avoid to plunging into local minimum. In addition, how to effectively use the linear optimal solution technique in finding the optimal weights of neural network is also studied and analyzed. Rey-Chue Hwang 黃瑞初 2006 學位論文 ; thesis 66 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 義守大學 === 電機工程學系碩士班 === 94 === The aim of this research is trying to solve and overcome the shortcomings of neural network with traditional error back-propagation (BP) learning algorithm. The modified learning algorithm is basically developed by using the technique of linear optimal solution and BP learning way. Such a combinational learning method not only make neural model have faster learning speed, but also make neural model avoid to plunging into local minimum. In addition, how to effectively use the linear optimal solution technique in finding the optimal weights of neural network is also studied and analyzed.
|
author2 |
Rey-Chue Hwang |
author_facet |
Rey-Chue Hwang Yu-Chuang Liu 劉育昌 |
author |
Yu-Chuang Liu 劉育昌 |
spellingShingle |
Yu-Chuang Liu 劉育昌 The Study of Fast Learning Method of Network |
author_sort |
Yu-Chuang Liu |
title |
The Study of Fast Learning Method of Network |
title_short |
The Study of Fast Learning Method of Network |
title_full |
The Study of Fast Learning Method of Network |
title_fullStr |
The Study of Fast Learning Method of Network |
title_full_unstemmed |
The Study of Fast Learning Method of Network |
title_sort |
study of fast learning method of network |
publishDate |
2006 |
url |
http://ndltd.ncl.edu.tw/handle/92020499469415071408 |
work_keys_str_mv |
AT yuchuangliu thestudyoffastlearningmethodofnetwork AT liúyùchāng thestudyoffastlearningmethodofnetwork AT yuchuangliu lèishénjīngwǎnglùkuàisùxuéxízhīyánjiūtàntǎo AT liúyùchāng lèishénjīngwǎnglùkuàisùxuéxízhīyánjiūtàntǎo AT yuchuangliu studyoffastlearningmethodofnetwork AT liúyùchāng studyoffastlearningmethodofnetwork |
_version_ |
1717758903715889152 |