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《Industrial Control Computer》 2018-02
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Structure of Neural Network Based on Partition of Unity

In this paper,the concept of the state domain of the underlying layer of the hidden layer neuron is presented for the three-layer BP(Back Propagation) neural network.This paper proposes a new artificial neural network structure by using the concept of the state domain and the partition of unity method.when the input values are given into network,the corresponding neurons are activated according to the position of the input in the state domain,so that the output of the entire network is only related to the activated neurons.
【Fund】: 国家自然科学基金(61673120;61273219)项目资助
【CateGory Index】: TP183
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