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
Anglický název
String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization
Jazyk
en
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.
Anglický 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.
Dokumenty
BibTex
@inproceedings{BUT34296,
author="Zbyněk {Michlovský}",
title="String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization",
annote="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.",
address="Springer Verlag",
booktitle="Neural Information Processing",
chapter="34296",
edition="Lecture Notes in Computer Science",
howpublished="print",
institution="Springer Verlag",
year="2009",
month="december",
pages="611--619",
publisher="Springer Verlag",
type="conference paper"
}