A Fuzzy Neural Network Based on Particle Swarm Optimization Applied in the Speech Recognition System

Author

Zhang, Xueying ; Sun, Ying ; Zhang, Xiaomei ; Wang, Peng

Author_Institution

Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan

Volume

2

fYear

2008

Firstpage

693

Lastpage

697

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.

Keywords

fuzzy neural nets; fuzzy set theory; particle swarm optimisation; speech recognition; convergence speed; fuzzy neural network; particle swarm optimization; speech recognition system; Artificial neural networks; Biological neural networks; Educational institutions; Fuzzy logic; Fuzzy neural networks; Intelligent networks; Intelligent systems; Particle swarm optimization; Speech recognition; Sun; fuzzy neural network; particle swarm optimization algorithm; speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-0-7695-3382-7

Type

conf

DOI

10.1109/ISDA.2008.259

Filename

4696416