Tracking the states of a nonlinear and nonstationary system in the weight-space of artificial neural networks
Tracking the states of a nonlinear and nonstationary system in the weight-space of artificial neural networks
复制标题
跟踪人工神经网络权重空间中非线性和非平稳系统的状态
DOI:
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发表时间:
2006
期刊:
影响因子:
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通讯作者:
Takahiro Emoto
中科院分区:
文献类型:
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作者:
Kohji Koshimizu;Masayuki Morisawa;et al.;Takahiro Emoto