Neural Networks for Financial Forecasting (Wiley Trader's Exchange)

By Edward Gately

Succinctly explains how neural networks function, what they can accomplish as well as how to use, construct and apply them for maximum profit. Selecting what is to be predicted and choosing proper inputs, deciding on the best network architecture, training, and algorithms are among the topics discussed. Highlights examples of successful networks. Numerous graphs and spreadsheets are used to illustrate concepts. The appendix features lists of neural network suppliers, useful publications and more.

• Format: Hardcover
• Language: English
• ISBN: 0471112127
• ISBN13: 9780471112129
• Release Date: October 1995
• Publisher: Wiley
• Length: 169 Pages
• Weight: 0.96 lbs.
• Dimensions: 9.3" x 0.7" x 6.4"

Customer Reviews

Worth the money

What does this book promise?"Succinctly explains how neural networks function, what they can accomplish as well as how to use, construct and apply them for maximum profit."Ok, so perhaps it should say .... An introductory text with basic definitions and a example of how to use a neural network to predict the S & P 500. But even on the grander promise this book delivers. The book is too basic for those previously familiar with NNs, but perfect for someone who merely would like to begin and fears the prospect of becoming too frustrated to finish. Gately points out potential snares and discusses how to overcome them and walks the reader through a project. He describes how to preprocess the data to ensure meaningful results.I have followed his steps and have been very please with my project, this book and the value I received when purchasing it.

Succinct; clear and moderately comprehensive overview.

Great for intermediate level investors who want to explore neural networks as they apply to financial markets. Author sticks to the overview process. One case study is used to illustrate procedures and concepts. Work is reasonably paced. I recommend it as a good starting point for neural network analysis. Requires some background in financial markets and Excel. Could benefit from including a CD of examples and concept elaboration.