Qualitative Description of Nonlinear Systems via Fuzzy Modeling
碩士 === 國立海洋大學 === 電子工程學系 === 84 === The main purpose of this thesis is to study the construction of the qualitative model based on the fuzzy model of systems so as to realize the behavior and characteristics of systems. In this thesis, ins...
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ndltd-TW-084NTOU04280012016-07-13T04:10:44Z http://ndltd.ncl.edu.tw/handle/69838465840007823151 Qualitative Description of Nonlinear Systems via Fuzzy Modeling 基於模糊模式之非線性系統定性描述法 Yu-Shuo Chang 張育碩 碩士 國立海洋大學 電子工程學系 84 The main purpose of this thesis is to study the construction of the qualitative model based on the fuzzy model of systems so as to realize the behavior and characteristics of systems. In this thesis, instead of mathematical models, we try to establish the fuzzy model to describe nonlinear systems according to their input-output data. Then the qualitative model is constructed based on the definition of fuzzy variables so that the behavior and characteristics of systems can be analyzed accordingly. The procedure is as follows : firstly, the mountain clustering method and the back-propagation method are applied to establish the fuzzy model of systems. The fuzzy c- means method is subsequently used to define the membership function of the fuzzy variables. Secondly, the fuzzy model is converted to the qualitative model described by fuzzy variables to derive the qualitative description of systems. Some examples of physical systems are given to demonstrate the feasibility of our proposed method. Pei-Hwa Huang 黃培華 1995 學位論文 ; thesis 70 zh-TW |
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碩士 === 國立海洋大學 === 電子工程學系 === 84 === The main purpose of this thesis is to study the construction of
the qualitative model based on the fuzzy model of systems so as
to realize the behavior and characteristics of systems. In this
thesis, instead of mathematical models, we try to establish
the fuzzy model to describe nonlinear systems according to
their input-output data. Then the qualitative model is
constructed based on the definition of fuzzy variables so that
the behavior and characteristics of systems can be analyzed
accordingly. The procedure is as follows : firstly, the
mountain clustering method and the back-propagation method are
applied to establish the fuzzy model of systems. The fuzzy c-
means method is subsequently used to define the membership
function of the fuzzy variables. Secondly, the fuzzy model is
converted to the qualitative model described by fuzzy
variables to derive the qualitative description of systems.
Some examples of physical systems are given to demonstrate the
feasibility of our proposed method.
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author2 |
Pei-Hwa Huang |
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Pei-Hwa Huang Yu-Shuo Chang 張育碩 |
author |
Yu-Shuo Chang 張育碩 |
spellingShingle |
Yu-Shuo Chang 張育碩 Qualitative Description of Nonlinear Systems via Fuzzy Modeling |
author_sort |
Yu-Shuo Chang |
title |
Qualitative Description of Nonlinear Systems via Fuzzy Modeling |
title_short |
Qualitative Description of Nonlinear Systems via Fuzzy Modeling |
title_full |
Qualitative Description of Nonlinear Systems via Fuzzy Modeling |
title_fullStr |
Qualitative Description of Nonlinear Systems via Fuzzy Modeling |
title_full_unstemmed |
Qualitative Description of Nonlinear Systems via Fuzzy Modeling |
title_sort |
qualitative description of nonlinear systems via fuzzy modeling |
publishDate |
1995 |
url |
http://ndltd.ncl.edu.tw/handle/69838465840007823151 |
work_keys_str_mv |
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