Using Artificial Neural Networks for Timeseries Smoothing and Forecasting

Gives a survey of artificial neural networks that are suitable for timeseries smoothing and forecasting Offers case studies that can help the users (students, financial experts etc.) to understand the way of using artificial networks, its advantages and disadvantages The results of the case studies are compared with classic statistic methods including the way of calculation, accuracy of results and their limitations

Inhalt
Time series and their importance to the economy.- Econometrics selected models.- Artificial neural networks selected models.- Comparison of different methods.- Conclusion.