Improvement of wavelet neural networks model and application
Na Yang, Qiang Fu · Systems Engineering - Theory & Practice · 2009
Coupling Continuous Ant Colony Algorithm based function optimization and Wavelet Neural Networks,and optimizing weights in Neural Networks and wavelet parameters by Continuous Ant Colony Algorithm,best standard renewing pheromone in Continuous Ant Colony Algorithm was found,and that Wavelet Neural Networks model based on Continuous Ant Colony Algorithm was established,which it was aimed at to forecast accurately Rice Evapotranspiration,make reasonable irrigation scheduling and improve water efficiency.Testing the effects of forecasting water requirement,for well-irrigation rice area of Fujin city in Sanjiang Plain in 1985-2001,network structure was 6-12-1,best training times were 20 until the network converged,and error was only 0.0024.The results indicated that the modelis simple,approximation capability is higher,convergence speed is fast enough,and forecast precision is also better.Besides a new method had been proposed for optimizing network parameters and a new thought for it formed.