Title of Paper:基于灰色关联分析的高阶神经网络剪枝算法

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Date of Publication:2022-06-28

Journal:大连理工大学学报

Issue:3

Page Number:463-468

ISSN No.:1000-8608

Abstract:A comprehensive analysis of the characteristics of the network lateral and vertical grey incidence analyses is given, and then a new pruning algorithm based on grey incidence analysis for high-order neural network is presented. In this algorithm, grey incidence analysis is used to compare the correlation degree of each output sequence of the network units. The pruned connections and the incorporated connections are determined by the network vertical and lateral grey incidence analyses, respectively. The topological structure of the network is adjusted dynamically. After training, the pruned network has the optimum topological structure and obtains good generalization. The simulation results show the rationality and effectiveness of the proposed approach.

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