A fuzzy neural network based on particle swarm optimization applied in the speech recognition system

Xueying Zhang, Ying Sun, Xiaomei Zhang, Peng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Aim to the problems of fuzzy neural network depending on the initial conditions, the training time long, and being easy to fall into local minimum, this paper studied the combination of particle swarm optimization and fuzzy neural network, presented a fuzzy neural network model based on particle swarm optimization, and applied it in speech recognition system. This model improved the convergence speed of speech recognition system. The experimental results show that the system is feasible and effective.

Original languageEnglish
Title of host publicationProceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Pages693-697
Number of pages5
DOIs
StatePublished - 2008
Externally publishedYes
Event8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 - Kaohsiung, Taiwan, Province of China
Duration: 26 Nov 200828 Nov 2008

Publication series

NameProceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Volume2

Conference

Conference8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period26/11/0828/11/08

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