Počet záznamů: 1  

Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning

  1. 1.
    Holeňa, Martin - Linke, D. - Rodemerck, U.
    Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning.
    Simulated Evolution and Learning. Berlin: Springer, 2010 - (Deb, K.; Bhattacharya, A.; Chakraborti, N.; Chakroborty, P.; Das, S.; Dutta, J.; Gupta, S.; Jain, A.; Aggarwal, V.; Branke, J.; Louis, S.; Tan, K.), s. 220-229. Lecture Notes in Computer Science, 6457. ISBN 978-3-642-17297-7. ISSN 0302-9743.
    [SEAL 2010. International Conference /8./. Kanpur (IN), 01.12.2010-04.12.2010]
    http://hdl.handle.net/11104/0191513

    Citováno: 2

    --- BASKIN, I.I. - MADZHIDOV, T.I. - ANTIPIN, I.S. - VARNEK, A.A. Artificial intelligence in synthetic chemistry: achievements and prospects. RUSSIAN CHEMICAL REVIEWS. ISSN 0036-021X, 2017, vol. 86, no. 11, p. 1127-1156. [WOS]
    --- HAN, X.X. - ZHAO, C.F. - LI, H.X. - LIU, S.S. - HAN, Y.H. - ZHANG, Z.L. - REN, J. Using data mining technology in screening potential additives to Ni/Al2O3 catalysts for methanation. CATALYSIS SCIENCE & TECHNOLOGY. ISSN 2044-4753, DEC 21 2017, vol. 7, no. 4, p. 6042-6049. [WOS]
Počet záznamů: 1  

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