Back Propagetion Algorithm Improvement and Its Application to Deformation Monitoring Data Processing

Abstract:

This paper presents some improvements on the convergent criterion and activation function of the traditional BP neural network algorithm, and also the measures to prevent vibration, accelerate convergence and avoid falling into local minimum. The result of applying the improved network to deformation monitoring data processing indicates that the improved one is better than the traditional one in the aspect of precision.

Key words:back propagetion neural network; genetic algorithm; activation function; attached momentum; deformation monitoring data processing