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Simon Haykin

Known as: Haykin 
Simon Haykin is an electrical engineer, noted for his pioneering work in adaptive signal-processing with emphasis on applications in radar and… Expand
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3 relations
MICAISignal processingTülay Adalı

Papers overview

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Review
2017
Review
2017
Selecting training sets for support vector machines: a review
Support vector machines (SVMs) are a supervised classifier successfully applied in a plethora of real-life applications. However… Expand
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Highly Cited
2010
Highly Cited
2010
Adaptive Neuro-Fuzzy Systems
One benefit of fuzzy systems (Zadeh, 1965; Ruspini et al., 1998; Cox, 1994) is that the rule base can be created from expert… Expand
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Highly Cited
2008
Highly Cited
2008
The Self-Organizing Maps: Background, Theories, Extensions and Applications
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  • Computational Intelligence: A Compendium
  • 2008
    • Corpus ID: 8358317
For many years, artificial neural networks (ANNs) have been studied and used to model information processing systems based on or… Expand
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Highly Cited
2006
Highly Cited
2006
New Directions in Statistical Signal Processing: From Systems to Brains (Neural Information Processing)
Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross… Expand
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Highly Cited
2000
Highly Cited
2000
Haykin, Simon. Neural networks: A comprehensive foundation, Prentice Hall, Inc. Segunda Edición, 1999
 
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Highly Cited
1998
Highly Cited
1998
Neural Networks: A Comprehensive Foundation
From the Publisher: This book represents the most comprehensive treatment available of neural networks from an engineering… Expand
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Highly Cited
1998
Highly Cited
1998
Speech Recognition with Dynamic Bayesian Networks
Dynamic Bayesian networks (DBNs) are a powerful and flexible methodology for representing and computing with probabilistic models… Expand
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1994
1994
THE MUSIC THESAURUS: FUNCTION AND FOUNDATIONS
In her recent article, "American Music Libraries and Librarianship: challenges for the Nineties," Mary Wallace Davidson's… Expand
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Highly Cited
1992
Highly Cited
1992
On the training of radial basis function classifiers
An approach for the implementation of the Radial Basis Function (RBF) technique is presented and applied to a network of the… Expand
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Highly Cited
1978
Highly Cited
1978
Communication Systems
This best-selling, easy to read book offers the most complete discussion on the theories and principles behind today's most… Expand
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