Radial basis function network wind tunnel wind speed detection algorithm based on PSO

In common with the method of wind speed measuring, environmental factors is not consideration enough that led the measurement of the accuracy is not high. In order to solve these problems, and put forward the wind measurement based on radial basis function (RBF) network of particle swarm optimization (PSO). This paper is selected RBF neural network constructed corresponding model based on PSO. The PSO-RBF network has simple network structure, fast learning methods, good generalization ability. And it compared with other methods as a distinct advantage. Through simulation of MATLAB shows, it has small error that between the measured value of anemometer and the simulated value of network of based on PSO-RBF, and obvious advantage over other optimization algorithm. To know that wind measurement of based on PSO-RBF has a quick, high precision characteristics.