For the nonlinear algorithm, we introduce BP neural network into the g.

在非线性算法方面，把神经网络模型引入到g。

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In this network model, the BP elastic algorithm (RPROP) was adopted and the initialized weight value and valve were optimized and this model has realized the nonlinear.

该网络采用BP弹性算法，同时对初始权值和阀值进行了优化，实现了网络的非线性映射，并有着极快的收敛速度。

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Furthermore, on the basis of the improvement on BP algorithm and the controller's structure, this paper adds a nonlinear prediction model to solve the time-delay problem.

另外，在对BP算法和控制器结构改进的基础上，加入了非线性预测模型，来解决热网的大滞后问题。

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