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ESANN
2003
13 years 10 months ago
A new rule extraction algorithm based on interval arithmetic
In this paper we propose a new algorithm for rule extraction from a trained Multilayer Feedforward network. The algorithm is based on an interval arithmetic network inversion for p...
Carlos Hernández-Espinosa, Mercedes Fern&aa...
ICA
2004
Springer
14 years 2 months ago
Improving GRNNs in CAD Systems
Different Computer Aided Diagnosis (CAD) systems have been recently developed to detect microcalcifications (MCs) in digitalized mammography, among other techniques, applying Gen...
Fulgencio S. Buendía Buendía, J. Mig...
JACIII
2010
135views more  JACIII 2010»
13 years 7 months ago
Neural Network Ensemble-Based Solar Power Generation Short-Term Forecasting
—This paper presents the applicability of artificial neural networks for 24 hour ahead solar power generation forecasting of a 20 kW photovoltaic system, the developed forecastin...
Aymen Chaouachi, Rashad M. Kamel, Ken Nagasaka
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...
ESANN
2000
13 years 10 months ago
An algorithm for the addition of time-delayed connections to recurrent neural networks
: Recurrent neural networks possess interesting universal approximation capabilities, making them good candidates for time series modeling. Unfortunately, long term dependencies ar...
Romuald Boné, Michel Crucianu, Jean Pierre ...