Developing the Concept of Functional Virtual Population And Applying it To Machine Learning

碩士 === 國立成功大學 === 工業管理學系 === 88 === Training examples are always the key point to affect the performance of supervised learning system, especially in example size and information sufficiency that examples can provide to learning systems. This paper uses back-propagation neural network as knowledge a...

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Main Authors:	Long-sheng Chen, 陳隆昇
Other Authors:	Der-chang Li
Format:	Others
Language:	zh-TW
Published:	2000
Online Access:	http://ndltd.ncl.edu.tw/handle/42138721346043891359

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spelling	ndltd-TW-088NCKU00410422015-10-13T10:56:29Z http://ndltd.ncl.edu.tw/handle/42138721346043891359 Developing the Concept of Functional Virtual Population And Applying it To Machine Learning 功能性虛擬母體觀念之發展及其在機器學習中之應用 Long-sheng Chen 陳隆昇碩士國立成功大學工業管理學系 88 Training examples are always the key point to affect the performance of supervised learning system, especially in example size and information sufficiency that examples can provide to learning systems. This paper uses back-propagation neural network as knowledge acquisition tool. A FMS dynamic scheduling system (4machines,4 parts, and 8 buffers) is built to generating examples. And we introduce the concept of "function virtual population" to improve classification rate of the neural network. Using this method, we not only can improve drastically the performance of this learning system, but also find suitable example size. Der-chang Li 利德江 2000 學位論文 ; thesis 58 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立成功大學 === 工業管理學系 === 88 === Training examples are always the key point to affect the performance of supervised learning system, especially in example size and information sufficiency that examples can provide to learning systems. This paper uses back-propagation neural network as knowledge acquisition tool. A FMS dynamic scheduling system (4machines,4 parts, and 8 buffers) is built to generating examples. And we introduce the concept of "function virtual population" to improve classification rate of the neural network. Using this method, we not only can improve drastically the performance of this learning system, but also find suitable example size.
author2	Der-chang Li
author_facet	Der-chang Li Long-sheng Chen 陳隆昇
author	Long-sheng Chen 陳隆昇
spellingShingle	Long-sheng Chen 陳隆昇 Developing the Concept of Functional Virtual Population And Applying it To Machine Learning
author_sort	Long-sheng Chen
title	Developing the Concept of Functional Virtual Population And Applying it To Machine Learning
title_short	Developing the Concept of Functional Virtual Population And Applying it To Machine Learning
title_full	Developing the Concept of Functional Virtual Population And Applying it To Machine Learning
title_fullStr	Developing the Concept of Functional Virtual Population And Applying it To Machine Learning
title_full_unstemmed	Developing the Concept of Functional Virtual Population And Applying it To Machine Learning
title_sort	developing the concept of functional virtual population and applying it to machine learning
publishDate	2000
url	http://ndltd.ncl.edu.tw/handle/42138721346043891359
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Developing the Concept of Functional Virtual Population And Applying it To Machine Learning

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