Design of Dynamic Modular Neural Network Based on Adaptive Particle Swarm Optimization Algorithm
Design of Dynamic Modular Neural Network Based on Adaptive Particle Swarm Optimization Algorithm
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基于自适应粒子群优化算法的动态模块化神经网络设计
DOI:
10.1109/access.2018.2803084
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发表时间:
2018
期刊:
影响因子:
3.9
通讯作者:
Li Wenjing
中科院分区:
文献类型:
--
作者:
Qiao Junfei;Lu Chao;Li Wenjing
To solve the problem that subnetwork output cannot be optimally integrated in a modular neural network (MNN), this paper proposes an adaptive particle swarm optimization algorithm for dynamic MNN (APSO-DMNN). First, the method identifies the distribution
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