Jonathan E. Fieldsend, Member, IEEE and Sameer Singh, Member, IEEE  Home/Search
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Abstract: For the purposes of forecasting (or classification) tasks neural networks (NNs) are typically trained with respect to Euclidean distance minimization. This is commonly the case irrespective of any other end user preferences. In a number of situations, most notably time series forecasting, users may have other objectives in addition to Euclidean distance minimization. Recent studies in the NN domain have confronted this problem by propagating a linear sum of errors. However this approach... (Update)
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BibTeX entry: (Update)
@misc{ member-pareto,
author = "Jonathan Fieldsend Member",
title = "Pareto Evolutionary Neural Networks",
url = "citeseer.ist.psu.edu/733268.html" }
Citations (may not include all citations):191 An Overview of Evolutionary Algorithms in Multiobjective Opt.. - Fonseca, Fleming - 1995 DBLP
142 Multiple objective optimization with vector evaluated geneti.. (context) - Schaffer - 1985 ACM DBLP
110 Multi-Objective Optimization Using Evolutionary Algorithms (context) - Deb - 2001 ACM
101 Multiobjective Evolutionary Algorithms: A Comparative Case S.. - Zitzler, Thiele - 1999 DBLP
91 A Comprehensive Survey of Evolutionary-Based Multiobjective .. - Coello - 1999 DBLP
67 Evolving Artificial Neural Networks - Yao - 1999
63 Particle Swarm Optimization (context) - Kennedy, Eberhart - 1995
52 Genetic Evolution of the Topology and Weight Distribution of.. (context) - Maniezzo - 1994
51 A New Evolutionary System for Evolving Artificial Neural Net.. - Yao, Liu - 1997
49 The pareto archived evolution strategy: A new baseline algor.. - Knowles, Corne - 1999
46 Principles of Corporate Finance (context) - Brealey, Myers - 1996
43 Genetic generation of both the weights and architecture for .. - Koza, Rice - 1992
36 Fast Genetic Selection of Features for Neural Network Classi.. (context) - Brill, Brown et al. - 1992
36 Making Use of Population Information in Evolutionary Neural .. - Yao, Liu - 1998
26 Neural Networks in Financial Engineering: A Study in Methodo.. (context) - Refenes, Burgess et al. - 1997
24 Evolving Recurrent Perceptrons for Time-Series Modeling (context) - McDonnell, Waagen - 1994
20 A closer look at drawbacks of minimizing weighted sums of ob.. - Das, Dennis - 1997
20 Using Unconstrained Elite Archives for Multi-Objective Optim.. - Fieldsend, Everson et al. - 2003
20 Evolution of an Artificial Neural Network Based Autonomous L.. (context) - Baluja - 1996
17 Multiobjective Evolutionary Algorithms: Analyzing the State-.. - Veldhuizen, Lamont - 2000 DBLP
16 Alternative Neural Network Training Methods (context) - Porto, Fogel et al. - 1995
15 Error measures for generalizing about forecasting methods: E.. - Armstrong, Collopy - 1992
15 Optimization of a competitive learning neural network by Gen.. (context) - Merelo, Paton et al. - 1993 ACM DBLP
14 Multiobjective Genetic Optimization of Diagnostic Classifier.. - Kupinski, Anastasio - 1999
13 Evolving Neural Control Systems (context) - Saravanan, Fogel - 1998
11 How Effective are Neural Networks at Forecasting and Predict.. (context) - Adya, Collopy - 1998
11 GANNet: A Genetic Algorithm for Optimizing Topology and Weig.. (context) - White - 1993 DBLP
9 Pareto Multi-Objective Non-Linear Regression Modelling to Ai.. - Fieldsend, Singh - 2002
9 Reducing Local Optima in Single-Objective Problems by Multi-.. - Knowles, Watson et al. - 1993 ACM DBLP
8 Full Elite Sets for MultiObjective Optimisation - Everson, Fieldsend et al. - 2002
8 Forecasting the Economy with Neural Nets: A survey of Challe.. (context) - Moody - 1998 DBLP
7 Neural Network design based on evolutionary programming (context) - Fang, Xi - 1997
7 A bootstrap Evaluation of the Effect of Data Splitting on Fi.. - LeBaron, Weigend - 1998
7 Training product unit neural networks - Engelbrecht, Ismail - 1999
7 Comparitive Study of Stock Trend Prediction Using Time Delay.. (context) - Saad, Prokhorov et al. - 1998
7 Evolving Artificial Neural Networks to Combine Financial For.. (context) - Harrald, Kamstra - 1997 DBLP
7 Application of neural networks and genetic algorithms in the.. - Yamany, Khiani et al. - 1997 ACM DBLP
6 The profitability of trading volatility using real-valued an.. - Schittenkopf, Tino et al. - 2000
6 Essentials of Econometrics (context) - Gujarati - 1992
6 Multiobjective neural network for image reconstruction (context) - Wang, Wahl - 1997
6 A neural network approach to multiobjective optimization for.. (context) - Wen, Lee - 1998
6 Time dependant Directional Profit Model for Financial Time S.. (context) - Yao, Tan - 2000
5 Genetic Synthesis of Discrete-Time Recurrent Neural Network (context) - Marin, Sandoval - 1993 ACM DBLP
5 Cooperative Learning in Neural Networks using Particle Swarm.. - van den Bergh, Engelbrecht - 2000
5 An evolutionary artificial neural networks approach for brea.. - Abbass - 2002 DBLP
5 ARCH Models: Properties, Estimation and Testing (context) - Bera, Higgins - 1993
4 Adaptive Control utilising Neural Swarming - Conradie, Miikkulainen et al. - 2002 ACM DBLP
4 Training Product Units in Feedforward Neural Networks using .. - Ismail, Engelbrecht - 1999
3 Improving the Pricing of Options: A Neural Network Approach (context) - Anders, Korn et al. - 1998
3 Comparison of Data Structures for Storing Pareto-sets in MOE.. (context) - Mostaghim, Teich et al. - 2002
3 Full Automatic ANN Design: A Genetic Approach (context) - Alba, Aldana et al. - 1993
3 Training Multiple-Layer Perceptrons to Recognise Attractors (context) - Greenwoood - 1997
3 Alternatives to gradient-based neural training - Duch - 1999
2 Minimization through Convexitization in Training Neural Netw.. (context) - Lo - 2002
2 Neural Network Versus Econometric Models in Forecasting Infl.. (context) - Moshiri, Cameron - 2000
2 Evolutionary Computation - Approximating, Front et al. - 2000 ACM
2 Novel Algorithms for Multi-Objective Search and their applic.. (context) - Fieldsend - 2003
2 An Artificial Neural Network Approach to the Valuation of Op.. (context) - Geigle, Aronson - 1999 ACM
2 Robust Approximation of Uncertain Functions where Adaptation.. (context) - Lo, Bassu - 2002
2 A Comparison of artificial neural network and time series mo.. (context) - Kohzadi, Boyd et al. - 1996 DBLP
1 Searching under multi-evolutionary pressures - Abbass, Deb - 2003 DBLP
1 Using neural networks to forecast the S & P 100 implied vola.. (context) - Malliaris, Salchenberger - 1996
1 Simultaneous evolution of architectures and connection weigh.. - Abbass, Sarker - 2001
1 Multiobjective evolutionary optimization of the size, shape .. (context) - Gonzalez, Rojas et al. - 2003
1 Hybidisation of neural networks and genetic algorithms for t.. (context) - Chaiyaratana, Zalzala - 1999
1 Multi-objective optimization for site location problems thro.. (context) - Shimizu - 1999
1 Much ado about nothing? Exchange rate forecasting: Neural ne.. (context) - Hann, Steurer - 1996 DBLP
1 The Australian Joint Conference on Artificial Intelligence (context) - Pareto, to et al. - 2001
1 Guiding Single-Objective Optimization Using Multiobjective M.. (context) - Jensen - 2003
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