| 多重加权双向联想记忆模型及决策性能研究 |
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| 引用本文： | 夏开军,陈松灿.多重加权双向联想记忆模型及决策性能研究[J].南京航空航天大学学报,2000,32(6):625-630. |
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| 作者姓名： | 夏开军 陈松灿 |
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| 作者单位： | 南京航空航天大学计算机科学与工程系南京，210016 |
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| 基金项目： | 国家自然科学基金(编号：69701004)和南京大学计算机软件新技术国家重点试验室基金资助项目。 |
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| 摘 要： | Ｃ Ｃ Ｗａｎｇ等利用Ｋｏｓｋｏ的双向联想记忆模型（Ｂｉｄｉｒｅｃｔｉｏｎａｌ ａｓｓｏｃｉａｔｉｖｅ ｍｅｍｏｒｙ，ＢＡＭ），构造了由多个ＢＡＭ构成的多重ＢＡＭ（Ｍｕｌｔｉ－ＢＡＭ）决策模型，使之可以应用于多证据推理，获得了Ｍｕｌｔｉ－ＢＡＭ的决策性能。作者在此基础上，通过对各ＢＡＭ引入不同的权值来模拟各专家不同的权威度，构建了相应的多重加权ＢＡＭ（Ｍｕｌｔｉ－ＷＢＡＭ）模型，证明了该模型在同、
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| 关 键 词： | 神经网络 决策系统 加权 双向联想记忆 |
| 修稿时间： | 2000年5月15日 |
Decision-Making Performance of Multiple Weighted Bidirectional Associative Memory |
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| Xia Kaijun,Chen Songcan.Decision-Making Performance of Multiple Weighted Bidirectional Associative Memory[J].Journal of Nanjing University of Aeronautics & Astronautics,2000,32(6):625-630. |
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| Authors: | Xia Kaijun Chen Songcan |
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| Abstract: | C C Wang and coworkers built a decision making model consisting of multiple bidirectional associative memory (Multi BAM) through BAM with equal priviledge, applied it to the decision making multiple experts, and obtained its decision making performance. In this paper, endowing different privileges to each BAM or expert, a multiple weighted decision making model consisting of BAM (Multi WBAM)is constructed and investigated. Firstly its stability in synchronous and asynchronous updating modes is proved and then its decision making performance and majority factor for different privileges of each expert are obtained. Finally, the results of the given examples and the computer si mulations are coincident with the intuitive human reasoning. |
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| Keywords: | neural network decision making system weighted multiple evidence reasoning bidirectional associative memory |
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