Detail výsledku

String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization

MICHLOVSKÝ, Z. String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization. Neural Information Processing. Lecture Notes in Computer Science. Berlin / Heidelberg: Springer Verlag, 2009. p. 611-619. ISBN: 978-3-642-10682-8.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Michlovský Zbyněk, Ing., FIT (FIT), UITS (FIT)
a další
Abstrakt

This paper presents a novel method for string classification using ESNN-QiPSO. The experiments have shown that ESNN with parameter optimization and using a small number of features produces promising results that is significant for future exploration.  Other work includes how to find a more effective method for choosing the most relevant features and eliminating irrelevant features.

Klíčová slova

String Kernels - Text Classification - Evolving Spiking Neural Network - Particle Swarm - Quantum Computing

Rok
2009
Strany
611–619
Sborník
Neural Information Processing
Řada
Lecture Notes in Computer Science
Konference
ICONIP 2009 : 16th International Conference on Neural Information Processing
ISBN
978-3-642-10682-8
Vydavatel
Springer Verlag
Místo
Berlin / Heidelberg
BibTeX 
@inproceedings{BUT34296,
  author="Zbyněk {Michlovský}",
  title="String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization",
  booktitle="Neural Information Processing",
  year="2009",
  series="Lecture Notes in Computer Science",
  pages="611--619",
  publisher="Springer Verlag",
  address="Berlin / Heidelberg",
  isbn="978-3-642-10682-8"
}
Projekty
Výzkum informačních technologií z hlediska bezpečnosti, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, zahájení: 2007-01-01, ukončení: 2013-12-31, řešení
Pracoviště
Ústav inteligentních systémů (UITS)
Nahoru