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在研究人工神经网络的基础上,提出了一种基于BP神经网络的电子吊秤快速称重测量的新方法。将BP神经网络应用于拟合称重传感器的输出特性,并在MATLAB下通过训练和仿真验证了应用BP神经网络实现电子吊秤快速称重可行性及优越性。
Based on the research of artificial neural network, a new method of rapid weighing measurement based on BP neural network is proposed. The BP neural network is applied to the output characteristics of the load cell, and the feasibility and superiority of using BP neural network to realize the rapid weighing of electronic crane scale are verified by MATLAB and simulation.