用神经网络建立土壤水分预测模型的方法是可行的。
The method of building soil water forecast model with neural network is available.
神经网络技术由于其较好的适应性，已经成为信息预测的常用模型。
Owing to the good adaptability, neural network has become a common model for information forecasting.
实验表明，生成的人工神经网络模型具有良好的预测效果。
The experiment result indicates that ANN model has good predicting effect in electric power distribution .
文章在神经网络的基础上，建立了黑体炉温度时序预测模型。
Black body furnace temperature time series prediction model based on BPNN was built.
神经网络模型是一个重要的预测方法。
神经网络模型是一个重要的预测方法。
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