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计算电磁扫雷具扫雷宽度常采用的方法是等强线图法和查表法,等强线图法过程繁琐,查表法在大多数情况下需要做插值计算,导致精度不高。为了方便快捷地对电磁扫雷具扫雷宽度进行估算,通过梳理影响扫雷宽度的主要因素,利用神经网络的方法建立了扫雷宽度估算模型,网络学习采用MATLAB环境下的改进BP算法,网络训练时间短,从仿真的结果来看,估算模型具有高精度的特点,补充了电磁扫雷具扫雷宽度计算方法。
The method used to calculate the mine sweeping width of electromagnetic miners is commonly used in the isopathic method and the look-up table method. The isogram process is tedious. The look-up table method needs interpolation calculation in most cases, resulting in poor accuracy. In order to estimate the width of the mine sweeping of the electromagnetic demining equipment conveniently and quickly, the width of the mine sweeping estimation model is established by the method of neural network by improving the main factors affecting the mine sweeping width. The network learning adopts the improved BP algorithm in the MATLAB environment, the network training time is short, From the simulation results, the estimation model has the characteristics of high precision, and complements the calculation method of the mine sweeping width of the electromagnetic sweeping mines.