Raw data preprocessing, the size of training data, as well as the size of input vectors have been studied separately, to find out the best parameter set of BP neural network prediction.
本文分别针对数据的预处理、训练数据集大小以及输入向量的大小分别进行了研究,以确定使用BP神经网络预测的一个最佳参数组合。
Such as the return of specific prediction method, smoothing index, grey model prediction, BP neural network, RBF neural network .
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。
At the same time, a multi-parameter geological objective prediction system based on BP neural network was developed.
同时建立并开发了一套基于BP神经网络的多参数地质目标预测系统。
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