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漏磁检测是无损检测中的一种重要方式,采用漏磁法对钢丝绳进行检测时,关键问题是对漏磁信号的处理,应用小波变换和小波网络技术对漏磁检测信号进行分析处理,形成良好的网络,然后对钢丝绳进行检测,结果达到了一定的准确度,表明漏磁检测信号处理技术在实际应用中具有可行性。 相似文献
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为解决传统位移反分析建模复杂、求解速度慢等问题,基于MATLAB的二次开发语言M语言,编写了用于位移反分析的BP神经网络源程序.针对传统BP网络收敛速度慢的缺点,采用L—M优化算法及归一化方法来加快网络的训练速度.对圆形巷道弹塑性问题的力学参数进行了反演分析.反演结果表明,MATLAB与神经网络相结合应用于位移反分析,具有建摸快、模型简捷、求解速度快、精度高等优点,可以在工程实际中推广应用. 相似文献
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傅晓锦 《煤炭学报(英文版)》2006,12(1):119-123
Based on the traditional optimization methods about the pressure control spring of the relief valve and combined with the advantages of neural network, this paper put forward the optimization method with many parameters and a lot of constraints based on neural network. The object function of optimization is transformed into the energy function of the neural network and the mathematical model of neural network optimization about the pressure control spring of the relief valve is set up in this method which also puts forward its own algorithm. An example of application shows that network convergence gets stable state of minimization object function E, and object function converges to the utmost minimum point with steady function, then best solution is gained, which makes the design plan better. The algorithm of solution for the problem is effective about the optimum design of the pressure control spring and improves the performance target. 相似文献