Conference paper

MICHLOVSKÝ Zbyněk. String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization. In: Neural Information Processing. Berlin / Heidelberg: Springer Verlag, 2009, pp. 611-619. ISBN 978-3-642-10682-8.
Publication language:english
Original title:String Pattern Recognition Using Evolving Spiking Neural Networks and Quantum Inspired Particle Swarm Optimization
Title (cs):Rozpoznávání vzorů řetězců s využitím Spiking Neural Networks and Quantum Inspired Particle Swarm optimalizace
Pages:611-619
Proceedings:Neural Information Processing
Conference:ICONIP 2009 : 16th International Conference on Neural Information Processing
Series:Lecture Notes in Computer Science
Place:Berlin / Heidelberg, DE
Year:2009
ISBN:978-3-642-10682-8
Publisher:Springer Verlag
Keywords
String Kernels - Text Classification - Evolving Spiking Neural Network - Particle Swarm - Quantum Computing
Annotation
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.
Abstract
This paper proposes a novel method for string pattern recognition using an Evolving Spiking Neural Network (ESNN) with Quantum-inspired Particle Swarm Optimization (QiPSO). This study reveals an interesting concept of QiPSO by representing information as binary structures. The mechanism optimizes the ESNN parameters and relevant features using the wrapper approach simultaneously. The N-gram kernel is used to map Reuters string datasets into high dimensional feature matrix which acts as an input to the proposed method. The results show promising string classification results as well as satisfactory QiPSO performance in obtaining the best combination of ESNN parameters and in identifying the most relevant features.
BibTeX:
@INPROCEEDINGS{
   author = {Zbyn{\v{e}}k Michlovsk{\'{y}}},
   title = {String Pattern Recognition Using Evolving Spiking Neural
	Networks and Quantum Inspired Particle Swarm Optimization},
   pages = {611--619},
   booktitle = {Neural Information Processing},
   series = {Lecture Notes in Computer Science},
   year = {2009},
   location = {Berlin / Heidelberg, DE},
   publisher = {Springer Verlag},
   ISBN = {978-3-642-10682-8},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9136}
}

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