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Abstract: Recent studies confront the problem of multiple error terms through summation. However this implicitly assumes prior knowledge of the problem's error surface. This study constructs a population of Pareto optimal Neural Network regression models to describe a market generation process in relation to the forecasting of its risk and return. (Update)
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.... data structures and methods introduced in this study are currently being applied to the evolution of neural network forecasting models [34], information retrieval and the optimisation of safety critical systems. ACKNOWLEDGEMENTS Jonathan Fieldsend gratefully acknowledges...
.... two and (to the author s knowledge) only studies using a MOEA to train a population of multi objective NNs are those by Fieldsend and Singh [18] and Kupinski and Anastasio [30] In [18] a version of the strength Pareto evolutionary algorithm [58] was used to generate an...
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BibTeX entry: (Update)
J.E. Fieldsend and S. Singh. Pareto MultiObjective Non-Linear Regression Modelling to Aid CAPM Analogous Forecasting. In Proc. IEEE Intl. Conf. on Computational Intelligence for Financial Engineering , 2002. (submitted). http://citeseer.ist.psu.edu/fieldsend02pareto.html More
@misc{ fieldsend02pareto,
author = "J. Fieldsend and S. Singh",
title = "Pareto MultiObjective Non-Linear Regression Modelling to Aid CAPM Analogous
Forecasting",
text = "J.E. Fieldsend and S. Singh. Pareto MultiObjective Non-Linear Regression
Modelling to Aid CAPM Analogous Forecasting. In Proc. IEEE Intl. Conf. on
Computational Intelligence for Financial Engineering , 2002. (submitted).",
year = "2002",
url = "citeseer.ist.psu.edu/fieldsend02pareto.html" }
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142 Multiple objective optimization with vector evaluated geneti.. (context) - Schaffer - 1985 ACM DBLP
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91 A Comprehensive Survey of Evolutionary-Based Multiobjective .. - Coello - 1999
54 Multiobjective Evolutionary Algorithms: Analyzing the State-.. - Van Veldhuizen, Lamont - 2000 DBLP
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14 Multiobjective Genetic Optimization of Diagnostic Classifier.. - Kupinski, Anastasio - 1999
11 How Effective are Neural Networks at Forecasting and Predict.. (context) - Adya, Collopy - 1998
8 Forecasting the Economy with Neural Nets: A survey of Challe.. (context) - Moody - 1998
8 Extensions to the Strength Pareto Evolutionary Algorithm - Fieldsend, Everson et al. - 2001
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7 Comparitive Study of Stock Trend Prediction Using Time Delay (context) - Saad, Prokhorov et al. - 1998
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6 Essentials of Econometrics (context) - Gujarati - 1992
6 Time dependant Directional Profit Model for Financial Time S.. (context) - Yao, Tan - 2000
6 Multiobjective neural network for image reconstruction (context) - Wang, Wahl - 1997
6 The profitability of trading volatility using real-valued an.. - Tino, Schittenkopf et al. - 2000
5 Estimation and Testing (context) - Bera, Higgins et al. - 1993
4 Non-linear ARCH Volatility Estimation Using Neural Networks (context) - Fieldsend - 1999
3 Manuel D'conomie Politique (context) - Pareto - 1927
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