广义回归神经网络模型 Generalized Regression Neural Network ; GRNN
该预测模型将为这是最好的?利用回归或神经网络的不同形式的利弊是什么?
Which predictive modelling will be best for this? What are the pros and cons of using the different forms of regression or neural networks?
这样设置便可以创建不包含隐藏层的神经网络模型,从而使该神经网络模型与逻辑回归等效。
This setting will create a neural network model that does not contain a hidden layer, and that therefore is equivalent to logistic regression.
具体如回归预测法、指数平滑法、灰色模型预测法、BP神经网络法、RBF神经网络法。
Such as the return of specific prediction method, smoothing index, grey model prediction, BP neural network, RBF neural network .
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