Virtual instrument was widely used in automatic measurement and control system, nonlinear calibration was necessary in
the science research and high-precise measurement. Nonlinear calibration method with RBFNN was proposed in this paper
for ANN's ability of self-learning and generalization and GA was introduced to optimize its structure and parameters. The
structure of RBFNN was created and optimizing algorithm was proposed, the fundamental of nonlinear calibration was
introduced. The simulation shows RBFNN with optimized by GA can greatly increase the convergence speed and
precision, nonlinear calibration with ANN was feasible and the precision was obviously improved, this method can be used
into automatic measure system effectively.