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159
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EVOW
2009
Springer
15 years 1 months 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. ...
165
Voted
IJACTAICIT
2010
153views more  IJACTAICIT 2010»
14 years 10 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
TNN
2010
234views Management» more  TNN 2010»
14 years 10 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
146
Voted
ISCAS
2011
IEEE
278views Hardware» more  ISCAS 2011»
14 years 7 months ago
A programmable axonal propagation delay circuit for time-delay spiking neural networks
— we present an implementation of a programmable axonal propagation delay circuit which uses one first-order logdomain low-pass filter. Delays may be programmed in the 550ms rang...
Runchun Wang, Craig T. Jin, Alistair McEwan, Andr&...
133
Voted
ANOR
2010
118views more  ANOR 2010»
15 years 1 months ago
Optimal linear estimator of origin-destination flows with redundant data
Abstract. Suppose given a network endowed with a multiflow. We want to estimate some quantities connected with this multiflow, for instance the value of an s
Frédéric Meunier