1) neural network self-configuring learning (NNSCL) algorithm
神经网络自构行学习(NNSCL)算法
2) Neural network self-structure learning algorithm
神经网络自构形学习算法
1.
Neural network self-structure learning algorithm is applied in the rule-reasoning layer of the fuzzy-neural network to optimize rules, and the algorithm is expanded in the layers under the rule-reasoning layer of the fuzzy-neural network, and modification of the formulas of the algorithm is combined with adjustment of C1 and C2 , so that the structure of the network can be optimized .
神经网络自构形学习算法用于此类模糊神经网络的规则推理层进行规则优化,并将此算法向网络的低层次上扩展,还可对此算法的各公式进行少许的改动和调整C1和C2的值相结合,达到网络结构优化的目的。
4) adaptive neural-networks learning algorithm (ANA)
自适应神经网络学习算法
5) Self learning Neural Networks
自学习神经网络
6) parallel neural network algorithm
并行神经网络算法
补充资料:踏云行 自咏
【诗文】:
薄利虚名,谁人能戒。前头路险犹贪爱。惟予不肯着浮华,中心有愿超三界。广布慈风,休生懈怠。心怀忍辱常宁耐。豁开心地若虚空,分明
【注释】:
【出处】:
薄利虚名,谁人能戒。前头路险犹贪爱。惟予不肯着浮华,中心有愿超三界。广布慈风,休生懈怠。心怀忍辱常宁耐。豁开心地若虚空,分明
【注释】:
【出处】:
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