The Application of BP Neural Network Model of DNA-Based Genetic Algorithm to Monitor Cutting Tool Wear

This paper proposes a method of applying BP neural network model of DNA-based genetic algorithm to monitor and forecast cutting tool wear. Through the optimization by training, that is adopts DNA genetic algorithm to optimize the initial figure of BP neural networks and increases the speed of convergence and avoid local minimum, the BP neural network model can effectively extract the characteristic parameters that affect the tool wear characteristics , monitor and forecast of the tool wear, as well as get higher forecast accuracy.