Based on analysing characteristics of error curved surface of the network, the authors have advanced the rapid BP algorithm, which can greatly raise the learning speed.

通过分析网络误差曲面特征，提出了快速BP算法，它可以大幅度地提高学习速度。

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The hybrid algorithm based on GA and BP algorithm has both rapid local searching ability derived from BP and better global searching ability derived from GA.

构建了一种基于GA - BP的混合遗传算法来综合遗传算法的全局优化能力和BP神经网络的快速收敛能力。

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Comparing mixed method with BP algorithm and terraced method, validity of the method was testified, which results in rapid computing of weights and thresholds.

通过BP算法、梯度优化法和混合算法对相同实例网络权值和阈值的计算，验证了所提出的混合算法的有效性，实现了权值和阈值的快速准确计算。

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