Abstract
Biomimetic Pattern Recognition theory uses multi-weight neuron covering networks to perform recognition tasks.However,there are few discussions on the constructive methods of multi-weight neuron covering networks,namely how many neurons are needed to fulfill the covering of a data set.A large number of neurons can cover the data set precisely,but it will make the network be more complicated.In this paper,we propose a constructive algorithm for multi-weight neuron covering networks.The algorithm can construct a covering network with least neurons and maintain the covering ability of the networks simultaneously.The experiments show the efficiency of the proposed algorithm.
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