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。
By adopting the method of soft measurement with Feed forward neural network modeling, the black liquid Baume scale of pulping section in papermaking process has been measured.
采用前向神经网络建模的软测量方法，对造纸过程制浆工段的黑液波美度进行测量。
The structure of this control method can be considered as the combination of a feed forward type computation moment controller and a WFN model compensator.
这种控制方法的结构可以被认为是一个前馈型计算转矩控制器和一个WFN模型补偿器的结合。
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