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TSD
2010
Springer
15 years 4 months ago
A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
Jan Zelinka, Jan Romportl, Ludek Müller
TNN
2010
115views Management» more  TNN 2010»
15 years 1 months ago
New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks
This paper presents a new approach for identifying and validating the F/A-18 aeroservoelastic model, based on flight flutter tests. The neural network (NN), trained with five diffe...
N. Boely, R. M. Botez
AMC
2011
14 years 10 months ago
General criteria for asymptotic and exponential stabilities of neural network models with unbounded delays
For a family of differential equations with infinite delay, we give sufficient conditions for the global asymptotic, and global exponential stability of an equilibrium point. Th...
Teresa Faria, José J. Oliveira
AAAI
1994
15 years 7 months ago
Parsing Embedded Clauses with Distributed Neural Networks
A distributed neural network model called SPEC for processing sentences with recursive relative clauses is described. The model is based on separating the tasks of segmenting the ...
Risto Miikkulainen, Dennis Bijwaard
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 11 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....