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

Gately, Edward

ISBN 10: 0471112127 / ISBN 13: 9780471112129

Editore: Wiley, 1995

Riguardo questo articolo

Very good, clean, tight condition. Text free of marks. No dust jacket. Scratch to cover. Professional book dealer since 1999. All orders are processed promptly and carefully packaged with tracking.

Codice articolo 085308

Dati bibliografici

• Titolo: Neural Networks for Financial Forecasting (Wiley Trader's Exchange)
• Editore: Wiley
• Data di pubblicazione: 1995
• Lingua: Inglese
• ISBN 10: 0471112127
• ISBN 13: 9780471112129
• Rilegatura: Hardcover
• Edizione: 1st Edition
• Condizione: Very Good
• Condizione della sovraccoperta: No Jacket

Descrizione articolo

Riassunto

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.

L'autore

EDWARD GATELY, an authority on computerized trading, designs and tests trading systems, and develops neural networks for financial professionals and traders. He is a frequent lecturer for CompuTrac on the topic of neural nets. He lives in Mahwah, New Jersey.

About the Series Editor : PERRY J. KAUFMAN has been designing and developing trading strategies and hedge and arbitrage programs in derivatives markets since 1970. He is the author of six books, including The New Commodity Trading Systems and Methods and Smarter Trading. Mr. Kaufman is a principal at Kaufman Diamond & Yeong, an international consulting firm with offices in Vermont, Chicago, and Singapore.