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» Using Neural Nets to Estimate Evolutionary Parameters
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ICCAD
2005
IEEE
122views Hardware» more  ICCAD 2005»
14 years 4 months ago
Intrinsic shortest path length: a new, accurate a priori wirelength estimator
A priori wirelength estimation is concerned with predicting various wirelength characteristics before placement. In this work we propose a novel, accurate estimator of net lengths...
Andrew B. Kahng, Sherief Reda
ICANN
2010
Springer
13 years 4 months ago
Using Evolutionary Multiobjective Techniques for Imbalanced Classification Data
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
Sandra García, Ricardo Aler, Inés Ma...
ICONIP
2004
13 years 8 months ago
Neural-Evolutionary Learning in a Bounded Rationality Scenario
Abstract. This paper presents a neural-evolutionary framework for the simulation of market models in a bounded rationality scenario. Each agent involved in the scenario make use of...
Ricardo Matsumura de Araújo, Luís C....
APIN
2005
127views more  APIN 2005»
13 years 7 months ago
Evolutionary Radial Basis Functions for Credit Assessment
Credit analysts generally assess the risk of credit applications based on their previous experience. They frequently employ quantitative methods to this end. Among the methods used...
Estefane G. M. de Lacerda, André Carlos Pon...
IJCNN
2007
IEEE
14 years 1 months ago
Parameter Optimization of PSS Based on Estimated Hessian Matrix from Trajectory Sensitivities
This paper describes the optimal tuning for the output limits of the power system stabilizer (PSS), which can improve the system damping performance immediately following a large d...
Seung-Mook Baek, Jung-Wook Park, Ganesh K. Venayag...