Research on Thermal Error Modeling of Motorized Spindle Based on BP Neural Network Optimized by Beetle Antennae Search Algorithm

Research on Fault Diagnosis Based on BP Neural Network Optimized by Chaos Ant Colony Algorithm

In view of shortcomings of BP neural network, which is slow to converge and tends to trap in local optimum when applied in fault diagnosis, an approach for fault diagnosis based on BP neural network optimized by chaos ant colony algorithm is proposed. Mathematical model of chaos ant colony algorithm is created. Real-coded method is adopted and the weights and thresholds of BP neural network are...

Research on Intrusion Detection Algorithm Based on BP Neural Network

In recent years, the problem of network security has been more and more people's attention, as one of the most important technology of network security, intrusion detection technology has gone through nearly thirty years of development, but it still exists some deficiency factors. Aiming at the defects of the traditional BP neural network intrusion detection model in the detection rate and the ...

Research on Hybrid Algorithm Based on BP Neural Network and Genetic Algorithm

BP neural network can approximate nonlinear functions in any degree of accuracy. However, it exhibits the shortcoming of slow convergence, and it is easy to fall into local minimum value. The genetic algorithm has academic advantages both at home and abroad. On the basis of analysis on features of genetic algorithm and BP neural network, the explanations on the necessity of combining genetic al...

Adaptive Network Traffic Prediction Algorithm based on BP Neural Network

With the rapid development of Internet technology, the network now has a large size and high complexity, and consequently the network management is becoming increasing difficult and complexity, so traffic forecast play a more and more role in network management. With a large amount of real traffic data collected from the actual network, an adaptive network traffic prediction algorithm based on ...

The research on hybrid drive and control technique of high-speed motorized spindle based on adaptive fuzzy neural network control