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Hidden Markov Models Training by a Particle Swarm Optimization Algorithm

✍ Scribed by Sébastien Aupetit; Nicolas Monmarché; Mohamed Slimane

Publisher
Springer Netherlands
Year
2006
Tongue
English
Weight
380 KB
Volume
6
Category
Article
ISSN
1570-1166

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✍ Juan A. Lazzús 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 735 KB

A method to model the vapor-liquid phase based on a particle swarm algorithm is developed in this study. Two activity coefficient models (UNIQUAC and NRTL) were optimized with particle swarm optimization (PSO), and used to describe the isobaric vapor-liquid equilibrium of fifteen binary mixtures con