메뉴 건너뛰기




Volumn 356, Issue , 2013, Pages 11-17

Prediction of gas solubility in polymers by back propagation artificial neural network based on self-adaptive particle swarm optimization algorithm and chaos theory

Author keywords

Artificial neural network; Chaos; Gas in polymers; Particle swarm optimization; Solubility prediction

Indexed keywords

BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN); BACK-PROPAGATION ARTIFICIAL NEURAL NETWORK; MODIFIED PSO ALGORITHMS; PARTICLE SWARM OPTIMIZATION ALGORITHM; PRE-MATURE CONVERGENCES; SOLUBILITY PREDICTION; SQUARED CORRELATION COEFFICIENTS; TEMPERATURE AND PRESSURES;

EID: 84884166181     PISSN: 03783812     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fluid.2013.07.017     Document Type: Article
Times cited : (71)

References (50)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.