Neural networks for financial forecasting - Info and Reading Options
By Edward Gately

"Neural networks for financial forecasting" was published by Wiley in 1996 - New York, it has 169 pages and the language of the book is English.
“Neural networks for financial forecasting” Metadata:
- Title: ➤ Neural networks for financial forecasting
- Author: Edward Gately
- Language: English
- Number of Pages: 169
- Publisher: Wiley
- Publish Date: 1996
- Publish Location: New York
“Neural networks for financial forecasting” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) - Program trading (Securities) - Securities
Edition Specifications:
- Pagination: xvii, 169 p. :
Edition Identifiers:
- The Open Library ID: OL1277310M - OL2692651W
- Online Computer Library Center (OCLC) ID: 32468359
- Library of Congress Control Number (LCCN): 95008998
- ISBN-10: 0471112127
- All ISBNs: 0471112127
AI-generated Review of “Neural networks for financial forecasting”:
"Neural networks for financial forecasting" Description:
The Open Library:
When applied to the world of finance, neural networks are automated trading systems, based on mapping inputs and outputs for forecasting probable future values. In Neural Networks for Financial Forecasting - the first book to focus on the role of neural networks specifically in price forecasting - traders are provided with a solid foundation that explains how neural nets work, what they can accomplish, and how to construct, use, and apply them for maximum profit. It is written by an acknowledged authority who is, himself, the developer of several successful networks. Neural Networks for Financial Forecasting enables you to develop a usable, state-of-the-art network from scratch all the way through completion of training. There are spreadsheets and graphs throughout to illustrate key points, and an appendix of valuable information, including neural network software suppliers and related publications.
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