Research on Solar Collector Simulation Based on Genetic-BP Algorithm
Bo Fan · Proceedings of the CSEE · 2012
The solar collector neural network model was built based on the artificial neural network and the theoretical model.Genetic algorithm was used to optimize forecast accuracy of the neural network mode.On the basis of experimental data of solar collectors,the genetic algorithm-back propagation(GA-BP) neural network model was set up.The mathematical model,the BP neural network and the GA-BP neural network model of solar collectors were used for simulation calculation.The simulation result shows that the GA-BP neural network model is more accurate than the mathematical model and the BP neural network.The application of the GA-BP neural network can improve the accuracy and versatility of the simulation model.