论文信息 - New Model of a Fuzzy Associative Memory

New Model of a Fuzzy Associative Memory

We propose a new theory of implicative fuzzy associative memory. This memory is modeled by a fuzzy preorder relation. We give a necessary and sufficient condition on input data that guarantees an effective composition of a fuzzy associative memory, which is moreover, insensitivity to a certain type of noise.

Irina Perfilieva | I. Perfilieva

[1] Enrique H. Ruspini,et al. A New Approach to Clustering , 1969, Inf. Control..

[2] Peter Sussner,et al. Implicative Fuzzy Associative Memories , 2006, IEEE Transactions on Fuzzy Systems.

[3] Irina Perfilieva,et al. Finitary solvability conditions for systems of fuzzy relation equations , 2013, Inf. Sci..

[4] Lotfi A. Zadeh,et al. The Concepts of a Linguistic Variable and its Application to Approximate Reasoning , 1975 .

[5] Korris Fu-Lai Chung,et al. On fuzzy associative memory with multiple-rule storage capacity , 1996, IEEE Trans. Fuzzy Syst..

[6] Bart Kosko,et al. Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence , 1991 .

[7] Dexue Zhang,et al. Fuzzy preorder and fuzzy topology , 2006, Fuzzy Sets Syst..

[8] Irina Perfilieva. Fuzzy Relation Equations in Semilinear Spaces , 2010, IPMU.

[9] Irina Perfilieva,et al. Systems of Fuzzy Relation Equations in a Space with Fuzzy Preorder , 2009, IFSA/EUSFLAT Conf..

[10] L. Valverde. On the structure of F-indistinguishability operators , 1985 .

[11] QianSheng Cheng,et al. The stability problem for fuzzy bidirectional associative memories , 2002, Fuzzy Sets Syst..

[12] Shi Yan,et al. A learning rule for fuzzy associative memories , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).