Detail publikace

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

MICHLOVSKÝ, Z.

Originální název

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

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální 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

Autoři

MICHLOVSKÝ, Z.

Rok RIV

2009

Vydáno

15. 12. 2009

Nakladatel

Springer Verlag

Místo

Berlin / Heidelberg

ISBN

978-3-642-10682-8

Kniha

Neural Information Processing

Edice

Lecture Notes in Computer Science

Strany od

611

Strany do

619

Strany počet

9

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"
}