BP神经网络在靶场时间间隔测量仪控制系统中的应用

Application of BP neural network in the target of time interval measurement instrument control system

针对靶场时间间隔测量仪中存在非弹丸数据误测的问题,设计了一种基于BP神经网络的弹丸数据误测的判定系统。测试结果表明,该方法比常规测试方法能更有效地进行误测数据的判定,从而为误测数据识别及判定的自动化提供了一种新思路。

Aiming at the target of time interval measuring instrument that exists in non-projectile question of error measurement,a determined system based on BP neural network of non-projectile error measurement data is designed. Test results show that the method can more effectively determines the error measurement data compared with conventional test methods. A new method is provided for the error measurement data identification and determined automation.