本文提出基于新的激励函数BP算法建立误差预测模型，修正新型广义预测算法的预测输出。

In the paper presents the predictive out of a new generalized predictive Control is corrected by the error predictive model based on a new excite function BP arithmetic.

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文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。

The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.

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把填充函数法与BP算法相结合，提出一种训练前向神经网络的混合型全局优化新算法。

This paper proposes a new global optimization technique in which combines the filled function method and BP algorithm for Training feedforward neural networks.

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