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Volumn 24, Issue 2-7, 2000, Pages 1187-1193

Batch process modeling for optimization using reinforcement learning

Author keywords

Batch process; Modeling for optimization; Reaction kinetics

Indexed keywords

CHEMICAL INDUSTRY; CHEMICAL REACTORS; COMPUTER SIMULATION; MATHEMATICAL MODELS; OPTIMIZATION; PUBLIC POLICY; REACTION KINETICS; STRATEGIC PLANNING;

EID: 0034662259     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(00)00354-9     Document Type: Conference Paper
Times cited : (24)

References (10)
  • 1
    • 0032188148 scopus 로고    scopus 로고
    • Optimal operation of batch reactors
    • Bonvin, D. (1998). Optimal operation of batch reactors. Journal of Process Control, 8, 355-368.
    • (1998) Journal of Process Control , vol.8 , pp. 355-368
    • Bonvin, D.1
  • 2
    • 33646300880 scopus 로고    scopus 로고
    • Improving cost and timeliness of batch process scale-up using active reinforcement learning
    • Breckenridge CO, USA. Paper no. A03
    • Martinez, E. C. (1999). Improving cost and timeliness of batch process scale-up using active reinforcement learning. In Proceedings of the Focapd99 Conference, Breckenridge CO, USA. Paper no. A03.
    • (1999) Proceedings of the Focapd99 Conference
    • Martinez, E.C.1
  • 10
    • 0042089208 scopus 로고
    • Semi-batch reactions offer optimal yield
    • Young, M. J. (1980). Semi-batch reactions offer optimal yield. Processing, 3, 27-33.
    • (1980) Processing , vol.3 , pp. 27-33
    • Young, M.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.