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A Novel Algorithm on BP-Neural Network

机译:BP神经网络的一种新算法

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摘要

Because during the net work learning, BP fall into local minimum, this article proposed a prove algorithm that change the learning gradient, and adjust the weight and threshold, in order to speed up the network's learning speed. At last, this method was used to, study sample at the fuzzy reasoning layer by BP calculation method, obtain professional experience and ways of thinking about bridage safety assessment via the network. Finally, compare the assessment results from the network with those from professionals. The comparison proves the artificial BP-neural network's more feasibility and efficiency.
机译:由于在网络学习过程中,BP陷入局部最小值,本文提出了一种证明算法,该算法可以改变学习梯度,并调整权重和阈值,以加快网络的学习速度。最后,该方法被用于通过BP计算方法在模糊推理层上研究样本,通过网络获得专业经验和对桥梁安全性评估的思考方法。最后,将网络的评估结果与专业人员的评估结果进行比较。比较证明了人工BP神经网络的可行性和有效性。

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