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研究非线性主成分分析法与神经网络算法的融合模型,并将非线性主成分神经网络融合模型应用于水泥强度的预测研究,得到的结果表明预测误差很小,可见研究结果可用于指导水泥生产实践.
The fusion model of nonlinear principal component analysis and neural network algorithm is studied. The nonlinear principal component neural network fusion model is applied to the prediction of cement strength. The results show that the prediction error is very small. The results can be used to guide the cement production practice.