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。
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。
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。
High nonlinear problem which is often met in Chemical engineering, taking the study of tray leakage mode as example, is treated by adopted BP (back propagation) algorithm in artificial neural network.
针对化工中经常遇到的高度非线性问题，以塔板研究中的泄漏模型为例，采用人工神经网络中的BP(反向传播)算法进行处理。
The I/O relationship of back propagation algorithm (BP algorithm) for Feed-Forward Multi-layered Neural Network is a mapping relationship, which can resolve the above nonlinear problem.
多层前向神经网络的误差逆传播算法（简称BP算法）的输入输出关系实际上是一种映射关系，适于解决上述非线性映射问题。
An algorithm of nonlinear predictive control method based on BP neural networks is proposed.
提出一种基于BP网络的非线性预测控制算法。
The chaotic BP algorithm is applied to nonlinear system modeling to obtain the optimal approximation in the global sense.
将混沌BP算法应用于非线性系统建模，以求获得全局意义下的最优逼近。
The algorithm is applied to XOR problem and nonlinear function approximation. Simulation results show that the chaos-BP algorithm needs shorter learning time than that of the standard BP and fast BP.
采用混合算法对XOR问题和非线性函数进行仿真，结果表明该算法明显优于标准BP算法和快速BP算法。
This method makes the nonlinear property of momentum term instead of the momentum term in improved BP algorithm.
这种方法将改进BP算法中的动量项由常量改换为一类关于常量的非线性函数。
This method makes the nonlinear property of momentum term instead of the momentum term in improved BP algorithm.
这种方法将改进BP算法中的动量项由常量改换为一类关于常量的非线性函数。
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