Nikola Kasabov
Nikola Kasabov
Professor Auckland University of Technology and Ulster University UK; Director Knowl Eng Cons Ltd
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Foundations of neural networks, fuzzy systems, and knowledge engineering
NK Kasabov
Marcel Alencar, 1996
DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction
NK Kasabov, Q Song
IEEE transactions on Fuzzy Systems 10 (2), 144-154, 2002
Evolving connectionist systems: the knowledge engineering approach
NK Kasabov
Springer Science & Business Media, 2007
Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning
N Kasabov
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 31 …, 2001
Research methods
R Ahuja
rawat publications, 2001
HyFIS: adaptive neuro-fuzzy inference systems and their application to nonlinear dynamical systems
J Kim, N Kasabov
Neural Networks 12 (9), 1301-1319, 1999
Incremental linear discriminant analysis for classification of data streams
S Pang, S Ozawa, N Kasabov
IEEE transactions on Systems, Man, and Cybernetics, part B (Cybernetics) 35 …, 2005
Dynamic evolving spiking neural networks for on-line spatio-and spectro-temporal pattern recognition
N Kasabov, K Dhoble, N Nuntalid, G Indiveri
Neural Networks 41, 188-201, 2013
Evolving fuzzy neural networks-algorithms, applications and biological motivation
N Kasabov
Methodologies for the conception, design and application of soft computing …, 1998
NeuCube: A spiking neural network architecture for mapping, learning and understanding of spatio-temporal brain data
NK Kasabov
Neural Networks 52, 62-76, 2014
Learning fuzzy rules and approximate reasoning in fuzzy neural networks and hybrid systems
NK Kasabov
Fuzzy sets and Systems 82 (2), 135-149, 1996
Span: Spike pattern association neuron for learning spatio-temporal spike patterns
A Mohemmed, S Schliebs, S Matsuda, N Kasabov
International journal of neural systems 22 (04), 1250012, 2012
FuNN/2—a fuzzy neural network architecture for adaptive learning and knowledge acquisition
NK Kasabov, J Kim, MJ Watts, AR Gray
Information sciences 101 (3-4), 155-175, 1997
Quantum-inspired evolutionary algorithm: a multimodel EDA
MD Platel, S Schliebs, N Kasabov
IEEE Transactions on Evolutionary Computation 13 (6), 1218-1232, 2008
To spike or not to spike: A probabilistic spiking neuron model
N Kasabov
Neural Networks 23 (1), 16-19, 2010
On-line pattern analysis by evolving self-organizing maps
D Deng, N Kasabov
Neurocomputing 51, 87-103, 2003
Multiple gene expression classifiers from different array platforms predict poor prognosis of colorectal cancer
YH Lin, J Friederichs, MA Black, J Mages, R Rosenberg, PJ Guilford, ...
Clinical Cancer Research 13 (2), 498-507, 2007
Evolving spiking neural networks for audiovisual information processing
SG Wysoski, L Benuskova, N Kasabov
Neural Networks 23 (7), 819-835, 2010
Incremental learning of chunk data for online pattern classification systems
S Ozawa, S Pang, N Kasabov
IEEE Transactions on Neural Networks 19 (6), 1061-1074, 2008
ECOS: Evolving Connectionist Systems and the ECO Learning Paradigm.
NK Kasabov
Iconip 98, 1232-1235, 1998
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Artículos 1–20