EXPONENTIAL ASSOCIATIVE MEMORY MODELBASED ON GENERALIZED INVERSE
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    Abstract:

    Based on Kohonen'S GIAM(generalized inverse associative memory)and Murakami'S LSAM(1east squares associative memory)principles, an exponential associa-tive memory is presented in this paper.The computer simulations have shown that the associative performance of the proposed model is superior to those of GIAM and LSAM,and its recall for stored data is almost perfect only via adjusting its parameter.The model does not require a prior assumption to noise variances and realizes nonlinear mapping between inputs and outputs to some extent.

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陈松灿,高航,朱梧槚.基于广义逆的指数型联想存储器模型.软件学报,1997,8(3):210-213

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  • Revised:March 25,1996
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