The optimization design method is proposed for feed-forward neural network structure by means of chaos ergodicity and randomicity.
提出一种关于多层前向神经网络结构的混沌优化设计方法。
The design method of the new controller was analyzed, the input and output variables of the neural network navigation controller were selected, the structure of the controller was also established.
分析了神经网络导向控制器的设计方法，选择了神经网络导向控制器的输入、输出变量，并建立了神经网络导向控制器的结构。
The structure of the system and the design of the multiple feedforward neural network used for identification of spectrogram of wastewater are discussed.
介绍了系统构成原理和用于废水紫外光谱图识别的多层前向神经网络的设计， 分析了含有不同隐节点数的前馈网络的精度；
The structure of the system and the design of the multiple feedforward neural network used for identification of spectrogram of wastewater are discussed.
介绍了系统构成原理和用于废水紫外光谱图识别的多层前向神经网络的设计， 分析了含有不同隐节点数的前馈网络的精度；
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