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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 2 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...
CORR
2004
Springer
125views Education» more  CORR 2004»
13 years 8 months ago
Traffic Accident Analysis Using Decision Trees and Neural Networks
The costs of fatalities and injuries due to traffic accident have a great impact on society. This paper presents our research to model the severity of injury resulting from traffi...
Miao M. Chong, Ajith Abraham, Marcin Paprzycki
AUSAI
2008
Springer
13 years 10 months ago
Using Gaussian Processes to Optimize Expensive Functions
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...
Marcus R. Frean, Phillip Boyle
EVOW
2009
Springer
14 years 3 months ago
Predicting Turning Points in Financial Markets with Fuzzy-Evolutionary and Neuro-Evolutionary Modeling
Two independent evolutionary modeling methods, based on fuzzy logic and neural networks respectively, are applied to predicting trend reversals in financial time series, and their...
Antonia Azzini, Célia da Costa Pereira, And...
ISCAS
2007
IEEE
122views Hardware» more  ISCAS 2007»
14 years 2 months ago
Neuromimetic ICs with analog cores: an alternative for simulating spiking neural networks
- This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). Such systems are an alternative to completely...
Sylvie Renaud, Jean Tomas, Yannick Bornat, Adel Da...