Modeling the Direct Synthesis of Dimethyl Ether using Artificial Neural Networks-Reference-Cited by-同舟云学术

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Modeling the Direct Synthesis of Dimethyl Ether using Artificial Neural Networks

Published:2021-03 Issue:5 Volume:93 Page:754-761
ISSN:0009-286X
Container-title:Chemie Ingenieur Technik
language:de
Short-container-title:Chemie Ingenieur Technik

Author:

Delgado Otalvaro Nirvana¹,Gül Bilir Pembe¹,Herrera Delgado Karla¹,Pitter Stephan¹,Sauer Jörg¹

Affiliation:

1. Karlsruhe Institute of Technology Institute of Catalysis Research and Technology Hermann-von-Helmholtz-Platz 76344 Eggenstein-Leopoldshafen Germany.m

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cite.202000226

Reference53 articles.

1. Artificial Intelligence techniques applied as estimator in chemical process systems – A literature survey

2. Artificial neural networks combined with experimental design: A “soft” approach for chemical kinetics

3. The application of hybrid DOE/ANN methodology in lumped kinetic modeling of Fischer–Tropsch reaction

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Kinetics of the Direct DME Synthesis: State of the Art and Comprehensive Comparison of Semi-Mechanistic, Data-Based and Hybrid Modeling Approaches;Catalysts;2022-03-18

2. Recent Progress in Direct DME Synthesis and Potential of Bifunctional Catalysts;Chemie Ingenieur Technik;2022-02-04

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