摘要
文中介绍了虚拟仪器校准的广义回归神经网络方法,并通过试验验证了此方法的可行性,测量精度有了明显的提高。
This paper introduced the method of nonlinear calibration of virtual instrument based on general regression neural network. And through experimentation the feasibility of this method was validated, and the measurement precision was obviously improved.
出处
《弹箭与制导学报》
CSCD
北大核心
2007年第5期223-224,228,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
