By comparing with standard BP model, it shows that both the two improved methods can improve the precision of ANN efficiently.
通过与标准BP算法的比较，表明这两种改进方法都能有效地提高神经网络模型的精度。
To enhance the validity of evaluation, based on ANN(artificial neural network), a comprehensive evaluation model of the safety of road traffic based on BP(back propagation) neural network was built.
为了提高评价的准确性，采用人工神经网络技术，建立了基于BP神经网络的道路交通安全综合评价模型。
A model for refrigerator energy consumption of a central air-conditioning system was established with nonlinear mapping capability of BP ANN.
利用BP人工神经网络的非线性映射能力，研究建立了中央空调系统制冷机的能量消耗模型。
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