| 基于BAM神经网络的推理研究 |
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| 引用本文： | 李敏,徐福缘,黄廷磊,姚俭.基于BAM神经网络的推理研究[J].桂林电子科技大学学报,1999,19(2):9-13. |
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| 作者姓名： | 李敏 徐福缘 黄廷磊 姚俭 |
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| 作者单位： | 上海理工大学,系统工程学院 |
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| 摘 要： | 推理作为人工智能领域中的一个重要课题,是人类求解问题的主要思维方法.人们在处理问题或人工智能领域中进行推理机设计时,往往根据问题及所处环境不同,考虑不同的推理策略以提高其效果或效率.正向推理、反向推理及双向推理为三种基本的推理策略.双向联想记忆(BAM)神经网络是一类具有双向稳定性的反馈系统,具有简单、可靠、易于实现的特点.将双向联想记忆(BAM)神经网络用于推理是人工智能领域中进行推理机设计的新途径.在分析了BAM网络用于推理,尤其是双向推理的理论依据上,研究了BAM网络在不同推理策略下的运行方法,通过实例说明了该方法的运作方式,最后就存在的网络容量等问题进行了讨论,指出了进一步研究的方向.
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| 关 键 词： | 推理策略 双向联想记忆网络 双向推理 网络容量 |
The Study of Reasoning Based on BAM Neural Networks |
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| Li Min,Xu Fuyua,Huang Tinglei,Yao Jian.The Study of Reasoning Based on BAM Neural Networks[J].Journal of Guilin Institute of Electronic Technology,1999,19(2):9-13. |
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| Authors: | Li Min Xu Fuyua Huang Tinglei Yao Jian |
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| Abstract: | Reasoning is the main thinking method for
people to solve problems. We usually employ different reasoning tactics with respect to
different problems or environment to enhance reasoning effect and efficiecy while we solve
problems or design reasoning machines in the field of artificial intelligence. There are
three basic kinds of reasoning tactics, which are positive-directional reasoning,
negative-directional reasoning and bi-directional reasoning.Bi-directional associative
memorioes (BAM) neural network is a kind of feedback system, which has the virtue of
bi-directional stability, simplicity, reliability and easiness to carry out. The approach
which apply bi-directional associative memories neural network to the design of reasoning
machine in the field of artificial intelligence is a new one. The paper analyzed the
theoretic gist of reasoning in BAM neural networks, especially the theoretic gist of
bi-directional reasoning. Based on it, the running methods of BAM under different
reasoning tactics are studied through examples. Finally, the problem of network capacity
is discussed and the further investigative direction is pointed out. |
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