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PRSV equation of state parameter modeling through artificial neural network and adaptive network-based fuzzy inference system
저자
Tahmaseb Hatami, Masoud Rahimi, Hiua Daraei, Ehsan Heidaryan, Ammar Abdulaziz Alsairafi
학술지명
Korean Journal of Chemical Engineering
출판/발행연도
2012
주제
요약
본 연구는 Peng-Robinson-Stryjek-Vera (PRSV) 상태 방정식의 파라미터 kappa(1)와 임계 온도, 임계 압력, 변심 인자, 분자량과 같은 열역학 상수 간의 관계를 모델링하기 위해 인공 신경망(ANN)과 적응 신경망 기반 퍼지 추론 시스템(ANFIS)이라는 두 가지 방법을 제안합니다. ANFIS 모델의 최적화에는 유전 알고리즘(GA)을 사용했으며, ANN과 특히 ANFIS 결과가 대부분의 화합물 그룹과 잘 일치하는 것으로 나타났습니다.
학술지 영향력
[Korean Journal of Chemical Engineering]
- CiteScore
- 5.2
- ES
- 0.00407
- JCI
- 0.49
- JCR
- 3.2
- KCI
- 0.37
- SJR
- 0.636
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