A nonlinear system identification method using particle swarm optimization is proposed.
提出了一种应用粒子群优化的非线性系统辨识方法。
A nonlinear system identification method ba sed on hybrid evolution strategy is proposed.
提出了基于混合进化策略的非线性系统辨识方法。
A new scaling kernel support vector regression was proposed for nonlinear system identification problem.
提出一种新的尺度核支持向量回归方法，并应用于非线性系统辨识问题。
Examples of nonlinear system identification are given to verify the feasibility and effectiveness of the proposed method.
在非线性结构系统识别中验证了该方法的可行性与有效性。
As a new type of recurrent neural network, echo state network (ESN) is applied to nonlinear system identification and chaotic time series prediction.
ESN(回声状态网络)是一种新型的递归神经网络，可有效处理非线性系统辨识以及混沌时间序列预测问题。
Mathematical model establishment in nonlinear system such as automobile engine is still very hard. Artificial neural network theory brings to us a new method in nonlinear system identification.
建立汽车发动机这样非线性系统的数学模型非常困难，人工神经网络理论为非线性系统的辨识提供了新的方法。
Mathematical model establishment in nonlinear system such as automobile engine is still very hard. Artificial neural network theory brings to us a new method in nonlinear system identification.
建立汽车发动机这样非线性系统的数学模型非常困难，人工神经网络理论为非线性系统的辨识提供了新的方法。
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