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Intelligent Systems and Financial Forecasting : Perspectives in Neural Computing - Jason Kingdon

Intelligent Systems and Financial Forecasting

Perspectives in Neural Computing

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This text examines the design of an automated system for financial time series forecasting. It explores the level of automation which can be achieved by a system for modelling a given financial time series with the minimum of human intervention. It aims to help the reader understand the issues involved in setting neural network, or genetic algorithm parameters, and to develop methods to deal with the problems they raise in a practical manner.

From Learning Systems to Financial Modellingp. 1
Adaptive Systems and Financial Modellingp. 19
Feed-Forward Neural Network Modellingp. 37
Genetic Algorithmsp. 55
Hypothesising Neural Netsp. 81
Automating Neural Net Time Series Analysisp. 107
The Data: The Long Gilt Futures Contractp. 125
Experimental Resultsp. 137
Summary, Conclusions and Future Workp. 163
Test Functionsp. 179
ANTAS Outline Codep. 185
ANTAS Resultsp. 191
Referencesp. 217
Indexp. 225
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9783540760986
ISBN-10: 3540760989
Series: Perspectives in Neural Computing
Audience: General
Format: Paperback
Language: English
Number Of Pages: 227
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Country of Publication: GB
Dimensions (cm): 23.6 x 15.6  x 1.45
Weight (kg): 0.36