Vibration Drilling Simulation Based on Neural Network and Genetic Algorithm
Hongwei Zhao · Zhongguo jixie gongcheng · 2001
We combine Artificial Neural Network with Genetic Algorithm in this paper, optimize the configuration and initial parameters of Multi-layer Feed-forward Network by Genetic Algorithm, carry out vibration drilling simulation using the mapping capacity of MFN, and then we optimize the parameters by modifying the trained ANN. The experiments show that it is a effective method. It also provides a new study and analysis method for the studying of vibration drilling.