Research on Bit Pressure Control System of Auto-drilling Based on BP Algorithm;

The application of modified BP algorithm used in NO_X air pollution of WuHu cityl;

Amelioration of BP algorithm and its application in expert system for electric arc furnace steel-making controlling;

Research on fuzzy neural network control of inverter spot-welding power supply based on BP arithmetic;

BP arithmetic FNN and an assistant prediction modelof sintering burn-through point;

The Research of AHP Based on BP Arithmetic;

Research of particle swarm optimization algorithm comparison with back-propagation algorithm and genetic algorithm

In this paper, one four-layer fuzzy neural network using the Back Propagation Algorithm and fuzzy logic was built to study the nonlinear relationships between different physical- chemical factors and the denseness of red tide algae, and to anticipate the denseness of red tide algae.

The advantages and disadvantages of Back Propagation Algorithm (BP) and Genetic Algorithm (GA) are analysed, combination of the two algorithms forms GA-BP.

The back propagation algorithm of neural network is described in detail.

In this paper we compared the particle swarm optimization(PSO)algorithm with the back propagation algorithm and the ge- netic algorithm,then we discussed about the theory of PSO,and we used these algorithms to train a muhi-layer artificial,neural net- work(ANN)model of vehicle fault diagnosis with few samples and tested the effect of these three different ANN.