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联想记忆神经网络的研究及应用

he research of Associative Memory Neural Networks

中文摘要英文摘要

联想记忆是一类重要的人工神经网络,能用于模拟人脑简单的思维功能,可被广泛的模式识别、图像处理、声音处理、证据推理等领域,本文主要介绍了Hopfield联想模型和双向联想记忆(BAM)模型的优缺点,以及对它们相应的改进措施以及具体应用

ssociative memory is one important class of artificial neural networks, can be used to simulate the brain’s esay thinking functionality,can be widely used in pattern recognition, image processing, audio processing, in areas such as evidential reasoning, this article introduces the Hopfield model and two-way association association memory (BAM) model of principle, the network system, and algorithm structure, and separately on their strengths and weaknesses, as well as their corresponding improvements, to predict the future development of associative memory

于乐杰

计算技术、计算机技术

联想记忆神经网络HopfieldBAM

associative memoryneural networkHopfieldBAM

于乐杰.联想记忆神经网络的研究及应用[EB/OL].(2009-03-19)[2025-07-16].http://www.paper.edu.cn/releasepaper/content/200903-737.点此复制

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