一類學習聯(lián)想神經網絡的動態(tài)特性研究
STUDIES OF DYNAMIC BEHAVIORS OF A LEARNING ASSOCIATIVE NEURAL NETWORKS
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摘要: 本文討論了一類聯(lián)想神經網絡在學習過程中結構變化引起網絡平衡點狀態(tài)變化的動態(tài)特性;研究了網絡的指數(shù)穩(wěn)定性質;分析了聯(lián)想過程中輸入激勵在噪聲干擾情況下,網絡的濾波能力;得到了一些對于研究聯(lián)想神經網絡學習性質有用的結論。Abstract: The exponential stability and trajectory bounds of the motions of equilibria of an associative neural network under structural variations while learning a new pattern are investigated. The filtering ability of the associative neural network whose input is contaminated by noise is analysed. The obtained results are expected to instruction for further studies of the learning associative neural networks.
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