| Course#: |
CS673 |
| Course Title: |
Artificial Neural Networks and Forecasting |
| Units: |
3 |
| Details: |
The subjects to be studied first include forcasting using statistical methods such as Box-Jenkins ARIMA models for time series analysis and forecasting with artificial neural networks. The applications include financial forecasting for stock prices, commodity trading volumes or currency exchange rates and other forecasting such as electric load, ocean temperature, river flow volume, and traffic flow. Then the current state-of-art forecasting methodologies from journals, conference proceedings, and books will be discussed. May not be taken for credit by students who have received credit for CS 697A. |
| Prerequisite: |
MATH 242 or 440, and CS 573 or 575. |
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