Research into the use of neural nets for financial prediction is a major research interest at present. This book will focus on approaches to performing trend analysis through the use of neural nets, comparing the results of experiments on various types of markets, and will include a review of current work in the area. It should appeal to students in both neural computing and finance as well as to financial analysts and academic and professional researchers in the field of neural network applications.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
references, glossary, index
Maße
ISBN-13
978-1-85032-234-4 (9781850322344)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
Part 1 Foundation For Financial Prediction Using Neural Networks: Review of Neural Networks; Introduction to the Future Markets; Introduction to Technical Analysis; Survey of Neural Network Literature on Financial Prediction. Part 2 Trend Prediction Techniques: Basic Strategy for Trend Prediction; A Mechanical Neural Net Position Trading System; Advanced Feature Extraction Techniques for Trend Prediction; Other Trend Prediction Strategies. Part 3 Price Prediction Techniques: Basic Strategy for Price Prediction; A Mechanical Neural Net Day Trading System; Advanced Feature Extraction Techniques for Price Prediction; Other Price Prediction Strategies. Part 4 The Future of Neural Nets for Financial Prediction: Integrating with Other Branches of Artificial Intelligence; Getting Started.
