南京航空航天大学学报2000，Vol.32Issue(6)：625-630,6.
多重加权双向联想记忆模型及决策性能研究
Decision-Making Performance of Multiple Weighted Bidirectional Associative Memory
摘要
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 simulations are coincident with the intuitive human reasoning.关键词
神经网络/决策系统/加权/多证据推理/双向联想记忆Key words
neural network/decision-making system/weighted/multiple evidence reasoning/bidirectional associative memory分类
信息技术与安全科学引用本文复制引用
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):625-630,6.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。 （编号：69701004）
