| 强化学习对信息融合系统的改进 |
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| 引用本文： | 范波,潘泉,张洪才,程咏梅.强化学习对信息融合系统的改进[J].计算机工程,2004,30(3):44-45,116. |
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| 作者姓名： | 范波 潘泉 张洪才 程咏梅 |
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| 作者单位： | 西北工业大学自动控制系,西安,710072 |
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| 基金项目： | 陕西省2000年自然科学基金资助项目(2000x17) |
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| 摘 要： | 通过分析和研究强化学习的结构和算法，将其引入到信息融合系统中，提出了基于强化学习的信息融合系统，并讨论了它的应用和发展。通过对多智能技术的借鉴，使信息融合系统有进一步的发展。
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| 关 键 词： | 信息融合 强化学习 多智能体系统 |
| 文章编号： | 1000-3428(2004)03-0044-02 |
Information Fusion System Improvement Based on Reinforcement Learning |
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| FAN Bo,PAN Quan,ZHANG Hongcai,CHENG Yongmei.Information Fusion System Improvement Based on Reinforcement Learning[J].Computer Engineering,2004,30(3):44-45,116. |
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| Authors: | FAN Bo PAN Quan ZHANG Hongcai CHENG Yongmei |
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| Abstract: | In this paper, the reinforcement learnings architecture and algorithm are analyzed and introduced to information fusion system. It presents the information fusion system based on reinforcement learning and discusses its application and development. With the use for reference from multi-agent technology, information fusion system will make a great progress. |
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| Keywords: | Information fusion Reinforcement learning Multi-agent system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
