具有軸突信號(hào)傳輸延遲的雙向聯(lián)想記憶神經(jīng)網(wǎng)絡(luò)
NEURAL NETWORKS OF BIDIRCTIONAL ASSOCIATIVE MEMORY WITH AXONAL SIGNAL TRANSMISSION DELAYS
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摘要: 雙向聯(lián)想記憶模型是兩層異聯(lián)想網(wǎng)絡(luò),本文重點(diǎn)討論了具有軸突信號(hào)傳輸延遲的雙向聯(lián)想記憶神經(jīng)網(wǎng)絡(luò)平衡點(diǎn)存在的條件以及全局穩(wěn)定性.并用具體例子驗(yàn)證了結(jié)論的正確性。本文所討論的方法具有普遍性,所得到的結(jié)果對(duì)于網(wǎng)絡(luò)的設(shè)計(jì)和應(yīng)用具有重要的指導(dǎo)意義。Abstract: Bidirectional Associative Memory(BAM) models are two-layer heteroassciative networks. In this paper, conditions for the existence of equilibrium points and global stability are emphatically disscussed for BAM with axonal signal transmission delays. The correctness of obtained conclusions is verified by use of some examples. The disscussed methods are more general. The obtained results have important leading significance in the design and application of BAM.
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