Evolutionary identification of Markov models

Kai Ming Tse; Kah Phooi Seng; Chi-Hsu Wang

Evolutionary identification of Markov models

Kai Ming Tse^*
, Kah Phooi Seng
, Chi-Hsu Wang

^*此作品的通信作者

電機工程學系

研究成果: Chapter › 同行評審

摘要

A multiresolution dynamic genetic algorithm searching technique is introduced to enhance the on-line model identification for finite-discrete state, discrete-time Markov models with continuous-range observations under white Gaussian noise. Markov chains with 3 states and 4 states are implemented.

原文	English
主出版物標題	Recent Advances in Computers, Computing and Communications
發行者	World Scientific and Engineering Academy and Society
頁面	312-315
頁數	4
ISBN（列印）	9608052629
出版狀態	Published - 1 12月 2002

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title = "Evolutionary identification of Markov models",

abstract = "A multiresolution dynamic genetic algorithm searching technique is introduced to enhance the on-line model identification for finite-discrete state, discrete-time Markov models with continuous-range observations under white Gaussian noise. Markov chains with 3 states and 4 states are implemented.",

keywords = "Evolutionary Algorithms, Markov Chains, Morkov Models, State variables, Transition Probabilities Matrix",

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AU - Seng, Kah Phooi

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AB - A multiresolution dynamic genetic algorithm searching technique is introduced to enhance the on-line model identification for finite-discrete state, discrete-time Markov models with continuous-range observations under white Gaussian noise. Markov chains with 3 states and 4 states are implemented.

KW - Evolutionary Algorithms

KW - Markov Chains

KW - Morkov Models

KW - State variables

KW - Transition Probabilities Matrix

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AN - SCOPUS:4944227189

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EP - 315

BT - Recent Advances in Computers, Computing and Communications

PB - World Scientific and Engineering Academy and Society

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Evolutionary identification of Markov models

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