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暴雨或大暴雨是许多城市常见的一种自然灾害现象。采用模糊数学中的信息扩散方法,建立了用于暴雨模糊风险分析的模型,并以上海市近20年来的暴雨资料为例进行计算,计算结果证明了该模型的简便可行性,为今后上海市的暴雨灾害防治工作提供一定参考。 相似文献
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提出一种基于BP神经网络的电子器件可靠性参数预测的新方法。以具体实验数据为例,以MATLAB中的神经网络工具箱为工具,采用了改进的BP神经网络,并对其设计方案进行了详细的分析说明,发现动量参数和学习率对训练次数的影响都很小;采用双隐含层比单隐含层训练更稳定,收敛的也更快速,同时给出了理想的学习方案。最后通过实验验证了该方法的有效性。 相似文献
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殷静 《数字社区&智能家居》2006,(11):199-200,234
Based on the Back-propagation Neural Network theory, a new method is presented to model nonlinear electron devices. By the sample applications, an optimized project of Back-propagation training is introduced by using Neural Network toolbox in MATLAB software, and the project is explained in detail and the good learning scheme is given by simulating the experimental results of the concrete experimental results. In the method, the momentum parameter α has intensive influence on the training times, while the learning ratio η has little effect on them. In addition, the training is more effective with the couple hidden layers than that with the single hidden layer. Finally, it is proved that the modeling method is accurate and converged quickly by the experiment. 相似文献
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