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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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BibTeX entry: (Update)
@misc{ aid-pareto,
author = "Modelling To Aid",
title = "Pareto Multi-Objective Non-Linear Regression",
url = "citeseer.ist.psu.edu/734228.html" }
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