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An application of incline matrices in dynamic analysis of generalized fuzzy bidirectional associative memories

机译:倾斜矩阵在广义模糊双向联想记忆动态分析中的应用

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This paper studies an application of the incline matrix theory in the dynamic analysis of incline-valued fuzzy bidirectional associative memories (L-FBAMs, for short). It is proved that the strong convergence and the strong stability of an L-FBAM are equivalent to the existence of indices and the convergence in finite steps of the product matrices of connection incline matrices of the L-FBAM, respectively. It is shown that the convergence index, the period of limit-cycles, the stable states and equilibria of a strongly convergent L-FBAM are expressed by the indices, the periods and the standard eigenvectors of the product matrices of connection incline matrices of the L-FBAM, respectively.
机译:本文研究了倾斜矩阵理论在倾斜值模糊双向联想记忆(简称L-FBAM)动态分析中的应用。证明了L-FBAM的强收敛性和强稳定性分别等于L-FBAM的连接倾斜矩阵的乘积矩阵的指数和有限级收敛。结果表明,强收敛L-FBAM的收敛指数,极限环的周期,稳态和平衡性由L的连接倾斜矩阵乘积矩阵的指标,周期和标准特征向量表示。 -FBAM,分别。

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