摘要
通过对BP神经网络的分析,提出一种采用遗传算法(GA)优化的GA-BP神经网络,通过调整其权值和阈值使传感器具有较好的收敛性和稳定性。最终通过实验仿真得出:GA-BP神经网络算法对压力传感器温度补偿具有显著的改善效果,提高了传感器的测量精确度和稳定性。
Through analyzing BP neural network,the GA( genetic algorithm)-based GA-BP neural network algorithm was proposed. Adjusting GA-BP neural network algorithm's weights and thresholds can improve the sensor's convergence and stability. Simulation result proves its obvious effect in improving the temperature compensation,accuracy and stability of the pressure sensor.
出处
《化工自动化及仪表》
CAS
2015年第11期1192-1195,共4页
Control and Instruments in Chemical Industry
