Neural Networks is an important method in nonlinear system modeling.
神经网络是非线性系统建模的重要方法。
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 Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.
用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
Simulation result shows that GMDH method can be applied to nonlinear system modeling successfully and has such advantages as higher prediction precision and good calculation stability, etc.
仿真结果表明，用GMDH方法建立非线性系统模型，具有预测精度高、计算稳定性好等优点。
Nonlinear system modeling using fuzzy method is discussed in this paper.
讨论了利用模糊方法实现非线性系统的建模方法。
Nonlinear system modeling using fuzzy method is discussed in this paper.
讨论了利用模糊方法实现非线性系统的建模方法。
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