The result shows that BPANN is a good model to predict the hole ordering for PAA film in sulphuric acid.
表明BP ANN是硫酸阳极氧化制备多孔膜孔有序度的较好的预测模型。
Finally the back-propagation artificial neural network (BPANN) is employed to calculate and correlate the solubility experiment data, and the results are satisfactory.
最后运用BP神经网络模型对溶解度实验数据进行了关联和预测，结果令人满意。
The BPANN method utilized to realize the linearization of semiconduction thermoresistor is studied by means of MATLAB and the linear characteristics of SCTR are thus obtained.
研究了半导体热敏电阻（SCTR）线性化的BPANN方法，并用MATLAB具体实现，得到了SC TR的线性特性。
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