Vehicle Production Forecasting Based on BPNN and Interface Between C# .NET and Matlab

In order to improve the efficiency and accuracy of software forecasting system,researched into the implementing method of BPNN(Error Back Propagation Neural Network) in Matlab 2006a.The training parameters of BPNN were chosen by iterative method.The interface technology between C#.NET and Matlab was discussed and then Matlab NN toolbox could be called by C#.NET successfully.A BPNN forecasting system based on the interface between C#.NET and Matlab was developed for vehicle production forecasting.Experiment results indicate that this system can forecast the vehicle production accurately and the application of interface technology can improve the software development efficiently.