利用神经网络的误差反向传播算法(BP算法)，结合告警、天气和工程设计几方面的数据资料建立了微波中继段告警分析预测模型。
By means of BP (error back propagation) artificial nerve network, with data from alarm, weather and engineering documents, microwave hop performance analysis and forecast model is established.
本文将神经网络引入到航材需求分析领域中，应用误差反向传播网络建立模型进行预测，并对模型结果进行了分析。
This paper introduces Neural net to the fields of air-materials demands analysis, and applies Back Propagation network to forecast.
然后对本授导算法中的信号正向传播与误差反向传播两个过程，以及其中的信号值推演、误差值推演进行了分析和阐述。
Then the algorithm of the Tutoring positive signal propagation and error back-propagation of two processes, and in which the signal value deduction, deduction for error analysis and elaboration.
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