Constraints in particle swarm optimization of hidden markov models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4224 LNCS, Issue , 2006, Pages 1399-1406

  Macaš, Martin ^a   Novák, Daniel ^a   Lhotská, Lenka ^a  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONSTRAINT THEORY; OPTIMIZATION; PARAMETER ESTIMATION; PROBLEM SOLVING; STOCHASTIC CONTROL SYSTEMS;

BAUM-WELCH ALGORITHM (BW); HIDDEN MARKOV MODELS (HMM); PARTICLE SWARM OPTIMIZATION (PSO); TRAINING SEQUENCE;

MARKOV PROCESSES;

EID: 33750537031     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11875581_166     Document Type: Conference Paper

References (6)

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2. Kwong, S., Chau, C.: Analysis of paralell genetic algortihms on hmm based speech recognition system. In: ICASSP. (1997) 1229-1233
3. Dempster, A., Laird, N., Rubin, D.: Maximum-likelihood from incomplete data via the em algorithm. Journal of Royal Statistics 39 (1977) 1-38
4. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings International Conference on Neural Networks IEEE. Volume 4. (1995) 1942-1948
5. X.Hu, R.C.Eberhart: Solving constrained nonlinear optimization problems with particle swarm optimization. In: Proceedings of the Sixth World Multiconference on Systems, Cybernetics and Informatics. (2002)
6. Paquet, U., p Engelbrecht, A.: A New Particle Swarm Optimiser for Linearly Constrained Optimization. In: Proceedings of the Congress on Evolutionary Computation 2003 (CEC'2003). Volume 1., Piscataway, New Jersey, Canberra, Australia, IEEE Service Center (2003) 227-233