本文提出用基于模型的神经网络方法来解决这一问题。
To solve this problem, a model based neural network method is presented.
本文提出并研究了一种具有全局收敛特性的神经网络模型。
A neural network model with the global convergence is proposed and studied in this paper.
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.
讨论神经网络的自旋玻璃体模型。
讨论了用于行为控制的神经网络的演化模型的设计。
The neural network evolution model applied to behavior control is also be discussed.
神经网络模型的建立。
应用神经网络对未建模型的非线性随机系统进行控制。
Use Neural Network to control unfounded model nonlinear random system.
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.
神经网络模型是一个重要的预测方法。
提出了一种基于神经网络模型的母线保护。
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 .
引入BP神经网络，设计出了基于BP神经网络的大型超市选址分析模型。
BP neural network is employed to design a location analysis model for large-scale supermarkets.
在此基础上，对模糊神经网络负荷模型的综合能力进行验证。
The load model synthesis ability is proved by stimulating other load data.
在此基础上，对模糊神经网络负荷模型的综合能力进行验证。
The load model synthesis ability is proved by stimulating other load data.
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