Using the traditional BP neural networks for prediction is prone to falling into local minima, resulting in compensation failure. In this paper, the zero-biased temperature compensation model of fiber optic gyroscope adopting the chaos simulated annealed particle swarm BP (CS...
To address the problem of the quantitative identification of glass panel surface defects, a new method combining the chaotic simulated annealing particle swarm algorithm (CSAPSO) and the BP neural network is proposed for the quantitative evaluation of microwave detection signals of glass panel defects....
3.3. CSAPSO-BP Neural Network Algorithm In order to solve the problem of the poor global search ability of the PSO algorithm, the chaos theory and simulated annealing algorithm are combined to optimize the PSO algorithm, and the chaotic simulated annealing particle swarm optimization algorithm (CSAP...