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» Multiple fuzzy neural networks modeling with sparse data
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IJCNN
2007
IEEE
15 years 5 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
ISCI
2006
96views more  ISCI 2006»
14 years 11 months ago
A comparison of classification accuracy of four genetic programming-evolved intelligent structures
We investigate the effectiveness of GP-generated intelligent structures in classification tasks. Specifically, we present and use four context-free grammars to describe (1) decisi...
Athanasios Tsakonas
EUSFLAT
2007
183views Fuzzy Logic» more  EUSFLAT 2007»
15 years 20 days ago
Soft Computing in Wireless Sensors Networks
The embedded soft computing approach in wireless sensor networks is suggested. This approach means a combination of embedded fuzzy logic and neural networks models for information...
Alexey N. Averkin, A. G. Belenki
ESANN
2001
15 years 19 days ago
Rectified Gaussian distributions and the formation of local filters from video data
We investigate the use of an unsupervised artificial neural network to form a sparse representation of the underlying causes in a data set. By using fixed lateral connections that...
Emilio Corchado, Darryl Charles, Colin Fyfe
77
Voted
NN
2008
Springer
115views Neural Networks» more  NN 2008»
14 years 11 months ago
The state of MIIND
MIIND (Multiple Interacting Instantiations of Neural Dynamics) is a highly modular multi-level C++ framework, that aims to shorten the development time for models in Cognitive Neu...
Marc de Kamps, Volker Baier, Johannes Drever, Mela...