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EVOW
2009
Springer
15 years 9 days ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...
152
Voted
IJACTAICIT
2010
153views more  IJACTAICIT 2010»
14 years 9 months ago
Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
Zahra Khanmirzaei, Mohammad Teshnehlab
110
Voted
ICIP
2001
IEEE
16 years 4 months ago
Use of neural networks for behaviour understanding in railway transport monitoring applications
In the last years, the interest for advanced video-based surveillance applications is more and more growing. This is especially true in the field of railway urban transport where ...
Claudio Sacchi, Carlo S. Regazzoni, Gianluca Gera,...
ESANN
1997
15 years 3 months ago
Neural network cooperation for handwritten digit recognition: a comparison of four methods
In this paper we focus on "off-line digit recognition" with anknown scriptor. After presenting two neural recognisers, we evaluate four solutions to combine results obta...
Yvon Autret, Andre Thepaut
137
Voted
ICANN
2005
Springer
15 years 8 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber