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Volumn 57, Issue 9-10, 2013, Pages 2408-2418

Neural network-particle swarm modeling to predict thermal properties

Author keywords

Artificial neural networks; Biological algorithms; Molecular structures; Particle swarm optimization; Thermal properties

Indexed keywords

AUTOIGNITION TEMPERATURE; BIOLOGICAL ALGORITHM; BOILING-POINT TEMPERATURE; CRITICAL TEMPERATURES; LOWER FLAMMABILITY LIMITS; MELTING POINT TEMPERATURE; OPTIMAL CONDITIONS; UPPER FLAMMABILITY LIMITS;

EID: 84875682492     PISSN: 08957177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mcm.2012.01.003     Document Type: Article
Times cited : (41)

References (14)
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    • Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design
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    • Estimation of solid vapor pressures of pure compounds at different temperatures using a multilayer network with particle swarm algorithm
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    • Lazzús, J.A.1
  • 10
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    • Prediction of solid vapor pressures for organic and inorganic compounds using a neural network
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.