Using Neural Networks For Financial Forecasting by Lou Mendelsohn With this offering, STOCKS & COMMODITIES contributor Lou Mendelsohn concludes his examination of neural networks for financial forecasting in today's globalized trading environment. Here, Mendelsohn concentrates on implementation issues and discusses how neural networks should be utilized as part of an overall trading strategy. Finally, he takes a brief look at the future of artificial intelligence technologies to implement synergistic market analysis. No discussion of the design, training and testing of neural networks could be complete without addressing the topic of implementation. How can a neural network, or combination of networks, be integrated into information systems and trading systems? Here is an example that uses many of the concepts of neural network development covered previously: training and testing, preprocessing, fact selection, input selection, architecture and paradigms. |
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