Result 1 to 20 of 38 total
Design of second order neural networks as dynamical control systems that aim to minimize nonconvex scalar functions. (English)
Neurocomputing 97, 174-191 (2012).
1
Finite-time stable versions of the continuous Newton method and applications to neural networks. (English)
Dyn. Contin. Discrete Impuls. Syst., Ser. B, Appl. Algorithms 18, No. 2, 171-196 (2011).
2
Controlling predator-prey discrete dynamics utilizing a threshold policy with hysteresis (English)
Applied Mathematics and Computation 217, No. 20, 7874-7886 (2011).
3
Generalized levenberg-marquardt neural nets for minimization of quasiconvex scalar functions (English)
NaBIC, 231-236 (2011).
4
Conjugate gradient and steepest descent constant modulus algorithms applied to a blind adaptive array. (English)
Signal Process. 90, No. 10, 2835-2841 (2010).
5
Control theory and the management of ecosystems: A threshold policy with hysteresis is robust (English)
Applied Mathematics and Computation 216, No. 11, 3133-3145 (2010).
6
Cooperative parallel asynchronous computation of the solution of symmetric linear systems (English)
CDC, 774-779 (2010).
7
The controlled conjugate gradient type trajectory-following neural net for minimization of nonconvex functions (English)
IJCNN, 1-8 (2010).
8
Control Liapunov function design of neural networks that solve convex optimization and variational inequality problems. (English)
Neurocomputing 72, No. 16-18, 3863-3872 (2009).
9
Perceptron training algorithms designed using discrete-time control Liapunov functions. (English)
Neurocomputing 72, No. 13-15, 3131-3137 (2009).
10
Evolving a fuzzy rulebase to model gene expression. (English)
Jin, Yaochu (ed.) et al., Fuzzy systems in bioinformatics and computational biology. Berlin: Springer (ISBN 978-3-540-89967-9/hbk; 978-3-540-89968-6/ebook). Studies in Fuzziness and Soft Computing 242, 191-215 (2009).
11
Comparative study of the CG and HBF ODEs used in the global minimization of nonconvex functions. (English)
Alippi, Cesare (ed.) et al., Artificial neural networks ‒ ICANN 2009. 19th international conference, Limassol, Cyprus, September 14‒17, 2009. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-04273-7/pbk). Lecture Notes in Computer Science 5768, 668-677 (2009).
12
Evolving a fuzzy rulebase to model gene expression (English)
Fuzzy Systems in Bioinformatics and Computational Biology, 191-215 (2009).
13
Real-time robust and adaptive solutions to zero finding problems with uncertainty (English)
CDC, 109-114 (2009).
14
Control-theoretic design of iterative methods for symmetric linear systems of equations (English)
CDC, 115-120 (2009).
15
Comparative study of the CG and HBF odes used in the global minimization of nonconvex functions (English)
ICANN (1), 668-677 (2009).
16
Unified control Liapunov function based design of neural networks that aim at global minimization of nonconvex functions (English)
IJCNN, 2467-2474 (2009).
17
Image restoration using L1-norm regularization and a gradient-based neural network with discontinuous activation functions (English)
IJCNN, 2512-2519 (2008).
18
Evolving fuzzy rules to model gene expression (English)
Biosystems 88, No. 1-2, 76-91 (2007).
19
Support vector classifiers via gradient systems with discontinuous righthand sides. (English)
Neural Netw. 19, No. 10, 1612-1623 (2006).
20
Result 1 to 20 of 38 total
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