A speech recognition system based on fuzzy neural network optimized by Time Variant PSO

Proceedings - International Conference on Computational Aspects of Social Networks, CASoN'10

Volumn , Issue , 2010, Pages 497-500

  Ning, Aiping ^a,b   Zhang, Xueying ^a   Sun, Hui ^a  

^a TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

^b TAIYUAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Speech recognition; Structure equivalence fuzzy neural network; Time variant parames particle swarm optimization

Indexed keywords

ACCELERATION COEFFICIENTS; BP ALGORITHM; FASTER CONVERGENCE; FITNESS VALUES; FUZZY-NEURAL; INERTIA WEIGHT; NOVEL METHODS; PARTICLE SWARM OPTIMIZATION ALGORITHM; PSO ALGORITHMS; RECOGNITION RATIO; SEARCH SPACES; SELF-LEARNING; SPEECH RECOGNITION SYSTEMS; TIME VARIANT;

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; FUZZY NEURAL NETWORKS; PARAMETER ESTIMATION; PARTICLE SWARM OPTIMIZATION (PSO); SOCIAL NETWORKING (ONLINE);

SPEECH RECOGNITION;

EID: 78650314209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CASoN.2010.117     Document Type: Conference Paper

References (9)

1. Gaoyun Li, "The Study of the Speech Recognition Based on the Optimized RBF Neural Network", Master Degree Thesis of Taiyuan University of Technology, Taiyuan, 2009.
2. XueYing Zhang, Peng Wang, "Improved T-S Fuzzy Neural Network in Application of Speech Recognition System", Computer Engineering and Applications, vol. 45, pp 246-248, April, 2009.
3. Yang Wu, Wu Yuan, Wu Zhongru, "Forecast Model Study Based on Fuzzy Neural Network",Water Resources and Power, vol. 22, pp 63-65, Mar, 2004.
4. M. Senthil Arumugam, M.V.C.Rao, Alan W.C.Tan, "A novel and effective particle swarm optimization like algorithm with extrapolation technique", Applied Soft Computing, 9, pp 308-320,2009.
5. M.M.Ali, P.Kaelo, "Improved Particle Swarm algorithms for global optimization"Applied Mathematics and computation, 196, pp578-593,2008.
6. J. Kennedy, R.C. "Eberhart, Particle swarm optimization", Proceedings of IEEE International Conference on Neural Networks, Piscataway, IEEE, 1995, pp 1942-1948.
7. Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay, Sankar Kumar Pal, "Multi-Objective Particle Swarm Optimization with time variant inertia and acceleration coefficients", Information Sciences, vol. 177, pp5033-5049, 2007.
8. Shi Y, Eberhart RC. "Empirical study of particle swarm optimization". In: Proc IEEE Int Congr Evolutionary Computation, Washington, DC. 1999, pp. 1945-1950.
9. Bo Liu, Ling Wang, Yi-Hui Jin, "Improved particle swarm optimization combined with chaos," Chaos, Solitons and Fractals vol. 25, pp1261-1271, 2005 (Pubitemid 40643077)