Result 1 to 20 of 20 total
Stable adaptive compensation with fuzzy CMAC for an overhead crane. (English)
Inf. Sci. 181, No. 21, 4895-4907 (2011).
1
Modeling prey-predator dynamics via particle swarm optimization and cellular automata. (English)
Batyrshin, Ildar (ed.) et al., Advances in soft computing. 10th Mexican international conference on artificial intelligence, MICAI 2011, Puebla, Mexico, November 26‒December 4, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-25329-4/pbk). Lecture Notes in Computer Science 7095. Lecture Notes in Artificial Intelligence, 189-200 (2011).
2
Modeling prey-predator dynamics via particle swarm optimization and cellular automata (English)
MICAI (2), 189-200 (2011).
3
Indirect hierarchical FCMAC control for the ball and plate system. (English)
Neurocomputing 73, No. 13-15, 2454-2463 (2010).
4
Design and implementation of a visual fuzzy control in FPGA for the ball and plate system (English)
ReConFig, 85-90 (2010).
5
A novel hardware implementation of the compact genetic algorithm (English)
ReConFig, 156-161 (2010).
6
Finding minimal addition chains with a particle swarm optimization algorithm. (English)
Aguirre, Arturo Hernández (ed.) et al., MICAI 2009: Advances in artificial intelligence. 8th Mexican international conference on artificial intelligence, Guanajuato, México, November 9‒13, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-05257-6/pbk). Lecture Notes in Computer Science 5845. Lecture Notes in Artificial Intelligence, 680-691 (2009).
7
Finding minimal addition chains with a particle swarm optimization algorithm (English)
MICAI, 680-691 (2009).
8
Realizing general MLP networks with minimal FPGA resources (English)
IJCNN, 1722-1729 (2009).
9
Hierarchical fuzzy CMAC for nonlinear systems modeling. (English)
IEEE Trans. Fuzzy Syst. 16, No. 5, 1302-1314 (2008).
10
Recurrent fuzzy CMAC for nonlinear system modeling. (English)
Liu, Derong (ed.) et al., Advances in neural networks ‒ ISNN 2007. 4th international symposium on neural networks, ISNN 2007, Nanjing, China, June 3‒7, 2007. Proceedings, Part I. Berlin: Springer (ISBN 978-3-540-72382-0/pbk). Lecture Notes in Computer Science 4491, 487-495 (2007).
11
System identification using hierarchical fuzzy neural networks with stable learning algorithm. (English)
J. Intell. Fuzzy Syst. 18, No. 2, 171-183 (2007).
12
System identification using hierarchical fuzzy neural networks with stable learning algorithm (English)
Journal of Intelligent and Fuzzy Systems 18, No. 2, 171-183 (2007).
13
Recurrent fuzzy CMAC for nonlinear system modeling (English)
ISNN (1), 487-495 (2007).
14
Nonlinear systems identification via two types of recurrent fuzzy CMAC (English)
IJCNN, 823-828 (2007).
15
System identification using hierarchical fuzzy CMAC neural networks. (English)
Huang, De-Shuang (ed.) et al., Computational intelligence. International conference on intelligent computing, ICIC 2006, Kunming, China, August 16‒19, 2006. Proceedings, Part II. Berlin: Springer (ISBN 978-3-540-37274-5/pbk). Lecture Notes in Computer Science 4114. Lecture Notes in Artificial Intelligence, 230-235 (2006).
16
Training cellular neural networks with stable learning algorithm. (English)
Wang, Jun (ed.) et al., Advances in neural networks ‒ ISNN 2006. Third international symposium on neural networks, ISNN 2006, Chengdu, China, May 28‒June 1, 2006. Proceedings, Part I. Berlin: Springer (ISBN 978-3-540-34439-1/pbk). Lecture Notes in Computer Science 3971, 558-563 (2006).
17
System identification using hierarchical fuzzy CMAC neural networks (English)
ICIC (2), 230-235 (2006).
18
Training cellular neural networks with stable learning algorithm (English)
ISNN (1), 558-563 (2006).
19
Robust visual servoing of robot manipulators with neuro compensation. (English)
J. Franklin Inst. 342, No. 7, 824-838 (2005).
20
Result 1 to 20 of 20 total
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