The GA-BP model is built by the nonlinear mapping ability of BP network and the global optimization of GA.

在GA - BP模型中主要是利用了BP网络的非线性映射能力和GA的全局优化能力。

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With the nonlinear mapping ability of neural network, this method can give relatively excellent prediction to target.

该方法利用了神经网络的非线性映射能力，能够较好地对目标进行预测。

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This paper proposes the classification of the neural network controller architecture and dynamic neural network structure, and clarifies its nonlinear mapping ability.

提出了神经网络控制器的分类以及非线性映射特性，讨论了神经网络控制器的特点。

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