Result 1 to 20 of 326 total
Performance evaluation of three pattern classification techniques used for water quality monitoring. (English)
Int. J. Comput. Intell. Appl. 11, No. 2, 1250013,14p. (2012).
1
A global-local optimization approach to parameter estimation of RBF-type models. (English)
Inf. Sci. 197, 144-160 (2012).
2
Dynamics model abstraction scheme using radial basis functions. (English)
J. Control Sci. Eng. 2012, Article ID 761019, 11 p. (2012).
3
Reduction of Gibbs phenomenon for 1D RBF interpolation. (English)
Giacomoni, Jaques (ed.) et al., Eleventh international conference Zaragoza-Pau on applied mathematics and statistics, Jaca, Spain, September 15‒17, 2010. Zaragoza: Univ. de Zaragoza, Seminario Matemático “García de Galdeano" (ISBN 978-84-15538-15-8/pbk). Monografías Matemáticas “García de Galdeano” 37, 149-159 (2012).
4
Quality of classification explanations with PRBF. (English)
Neurocomputing 96, 37-46 (2012).
5
Optimization of tuning parameters for open node fault regularizer. (English)
Neurocomputing 94, 32-45 (2012).
6
Short time series of website visits prediction by RBF neural networks and support vector machine regression. (English)
Rutkowski, Leszek (ed.) et al., Artificial intelligence and soft computing. 11th international conference, ICAISC 2012, Zakopane, Poland, April 29‒May 3, 2012. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-29346-7/pbk). Lecture Notes in Computer Science 7267. Lecture Notes in Artificial Intelligence, 135-142 (2012).
7
Research of detecting mixed flammable gases with a single catalytic sensor based on RBF neural network. (English)
Huang, De-Shuang (ed.) et al., Advanced intelligent computing theories and applications. With aspects of artificial intelligence. 7th international conference, ICIC 2011, Zhengzhou, China, August 11‒14, 2011. Revised selected papers. Berlin: Springer (ISBN 978-3-642-25943-2/pbk). Lecture Notes in Computer Science 6839. Lecture Notes in Artificial Intelligence, 694-700 (2012).
8
Potentials based optimization with embedded Markov chain for stochastic constrained system. (English)
Nonlinear Dyn. 67, No. 2, 1067-1073 (2012).
9
CAD and mesh repair with radial basis functions. (English)
J. Comput. Phys. 231, No. 5, 2376-2387 (2012).
10
A direct adaptive controller for EAF electrode regulator system using neural networks. (English)
Neurocomputing 82, 91-98 (2012).
11
Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution. (English)
Neurocomputing 78, 121-132 (2012).
12
Image retrieval based on K-means clustering and multiple instance learning. (Chinese)
J. Comput. Appl. 31, No. 6, 1546-1548 (2011).
13
Analysis of AR model and neural network for forecasting stock prices. (Chinese)
Math. Pract. Theory 41, No. 4, 14-19 (2011).
14
Comparing neural networks: Hopfield network and RBF network. (English)
Appl. Math. Sci., Ruse 5, No. 69-72, 3439-3452 (2011).
15
Nonlinear time series modeling and prediction using local variable weights RBF network. (English)
Panigrahi, Bijaya Ketan (ed.) et al., Swarm, evolutionary, and memetic computing. Second international conference, SEMCCO 2011, Visakhapatnam, Andhra Pradesh, India, December 19‒21, 2011. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-27171-7/pbk). Lecture Notes in Computer Science 7076, 389-398 (2011).
16
Consideration effect of uncertainty in power system reliability indices using radial basis function network and fuzzy logic theory. (English)
Neurocomputing 74, No. 17, 3420-3427 (2011).
17
Global and local modelling in RBF networks. (English)
Neurocomputing 74, No. 16, 2594-2602 (2011).
18
Fast automatic two-stage nonlinear model identification based on the extreme learning machine. (English)
Neurocomputing 74, No. 16, 2422-2429 (2011).
19
Training RBF network to tolerate single node fault. (English)
Neurocomputing 74, No. 6, 1046-1052 (2011).
20
Result 1 to 20 of 326 total
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