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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 6 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
105
Voted
GECCO
2004
Springer
116views Optimization» more  GECCO 2004»
15 years 6 months ago
Using Genetic Programming to Obtain a Closed-Form Approximation to a Recursive Function
Abstract. We demonstrate a fully automated method for obtaining a closedform approximation of a recursive function. This method resulted from a realworld problem in which we had a ...
Evan Kirshenbaum, Henri Jacques Suermondt
120
Voted
GRAPHITE
2003
ACM
15 years 5 months ago
Point-based modelling and rendering using radial basis functions
A point-based 3D surface modelling technique combined with a new point rendering technique is presented. Surfaces are modelled by specifying a set of unorganized points on the sur...
Patrick Reuter, Ireneusz Tobor, Christophe Schlick...
CONSTRAINTS
2008
70views more  CONSTRAINTS 2008»
15 years 21 days ago
Reformulating Table Constraints using Functional Dependencies - An Application to Explanation Generation
We present a novel approach to automatically reformulating constraints defined as tables of allowed assignments to variables. Constraints of this form are common in a variety of se...
Hadrien Cambazard, Barry O'Sullivan
104
Voted
SAC
2010
ACM
15 years 7 months ago
Software transactional memory for implicitly parallel functional language
During the last decade, software transactional memory (STM) gained wide popularity in many areas of parallel computing. In this paper, we introduce LISP-derived language equipped ...
Petr Krajca, Vilém Vychodil