Research on Intelligent Real time Monitoring System based on Neural Network Optimization

Abstract

A mathematical model composed of artificial intelligence neural network (BP) and genetic algorithm (GA) is proposed. Taking advantage of the neural network, the genetic algorithm overcomes the defect that the neural network is easy to fall into the local minimum error. Combining the soft measurement technology of DO concentration with the computer automatic control technology, the intelligent monitoring scheme of the sewage treatment process is designed, the overall structure and function of the system are given, the fuzzy system is applied to the particle swarm optimization algorithm, and the dynamic adjustment inertia is established. Fuzzy rules for weights. Simulation research by optimizing the extreme point of the test function.