[PDF.65rg] Foreign-Exchange-Rate Forecasting with Artificial Neural Networks (International Series in Operations Research & Management Science)

Foreign-Exchange-Rate Forecasting with Artificial Neural Networks (International Series in Operations Research & Management Science)

[PDF.tt77] Foreign-Exchange-Rate Forecasting with Artificial Neural Networks (International Series in Operations Research & Management Science)

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 | #3770339 in Books |  2007-08-02 | Original language:English | PDF # 1 |  9.21 x.81 x6.14l,1.45 | File type: PDF | 316 pages

 | ISBN13: 9780387717197 | Condition: Used - Very Good | Notes: 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!

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||2 of 4 people found the following review helpful.| Guide to literature, especially authors' own works|By John Schuyler|I don't know why anyone with a great NN or other trading system would write about it, though that's what I hoped would be in this book. The Good: Lots of discussion about architectures (especially hybrid systems), training methods, and literature references. The Bad (IMHO): I felt deprived by the scant experie| ||From the reviews: | |"This monograph consisting of six parts focuses on forecasting exchange rates via artificial neural networks (ANNs) and it is based on the fruit of a very pleasant scientific cooperation between three genuine academic researchers. &hellip

This book focuses on forecasting foreign exchange rates via artificial neural networks (ANNs), creating and applying the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange rate forecasting. The result is an up-to-date review of the most recent research developments in forecasting foreign exchange rates coupled with a highly useful methodological approach to predicting rate changes in foreign currency exchanges.

You easily download any file type for your gadget.Foreign-Exchange-Rate Forecasting with Artificial Neural Networks (International Series in Operations Research & Management Science)   |  Lean Yu, Shouyang Wang, Kin Keung Lai. I really enjoyed this book and have already told so many people about it!

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