Adaptive learning intelligent decision-making system

Qing Wang; Shi Hu Zhu; Chao Yang Dong; Zong Ji Chen

Adaptive learning intelligent decision-making system

Qing Wang^*
, Shi Hu Zhu
, Chao Yang Dong
, Zong Ji Chen

^*此作品的通讯作者

Peking University
Beihang University

科研成果: 期刊稿件 › 文章 › 同行评审

2 引用（Scopus）

摘要

An adaptive learning intelligent decision-making system based on the neural networks and expert system was proposed to allow the intelligent decision-making system to learn from experience. The application in the UCAV system shows that the intelligent decision-making system can not only learn from experience but also solve the problem of how to reason when the knowledge and the battlefield information are incomplete. The simulation results show that the presented technique improves the performance of intelligent decision-making system.

源语言	英语
页（从-至）	924-926
页数	3
期刊	Xitong Fangzhen Xuebao / Journal of System Simulation
卷	18
期	4
出版状态	已出版 - 4月 2006

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引用此

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title = "Adaptive learning intelligent decision-making system",

abstract = "An adaptive learning intelligent decision-making system based on the neural networks and expert system was proposed to allow the intelligent decision-making system to learn from experience. The application in the UCAV system shows that the intelligent decision-making system can not only learn from experience but also solve the problem of how to reason when the knowledge and the battlefield information are incomplete. The simulation results show that the presented technique improves the performance of intelligent decision-making system.",

keywords = "Adaptive learning intelligent decision-making system, Expert system, Neural networks, UCAV",

author = "Qing Wang and Zhu, \{Shi Hu\} and Dong, \{Chao Yang\} and Chen, \{Zong Ji\}",

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AU - Zhu, Shi Hu

AU - Dong, Chao Yang

AU - Chen, Zong Ji

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N2 - An adaptive learning intelligent decision-making system based on the neural networks and expert system was proposed to allow the intelligent decision-making system to learn from experience. The application in the UCAV system shows that the intelligent decision-making system can not only learn from experience but also solve the problem of how to reason when the knowledge and the battlefield information are incomplete. The simulation results show that the presented technique improves the performance of intelligent decision-making system.

AB - An adaptive learning intelligent decision-making system based on the neural networks and expert system was proposed to allow the intelligent decision-making system to learn from experience. The application in the UCAV system shows that the intelligent decision-making system can not only learn from experience but also solve the problem of how to reason when the knowledge and the battlefield information are incomplete. The simulation results show that the presented technique improves the performance of intelligent decision-making system.

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KW - Expert system

KW - Neural networks

KW - UCAV

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Adaptive learning intelligent decision-making system

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