LEAST SQUARES FUNCTIONAL LINK ASSOCIATIVE MEMORY
最小平方函数链式联想存储器

This paper introduces the idea of input functional expansion into a type of general associative memories, and proposes a new least squares functional link associative memory model, the performance of the model is optimized through noise input patterns.The experimental, results show the associative effect of the proposed model is better than those of the Kohonen s model and the Murakami s model.