Artificial Neural Network and Grid Search Aided Optimization of Temperature Profile of Temperature Gradient Reactor for Dimethyl Ether Synthesis from Syngas

Industrial & Engineering Chemistry Research ◽

10.1021/ie8008633 ◽

2009 ◽

Vol 48 (2) ◽

pp. 844-849 ◽

Author(s):

Kohji Omata ◽

Muneyoshi Yamada

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Temperature Gradient ◽

Temperature Profile ◽

Dimethyl Ether ◽

Grid Search ◽

Dimethyl Ether Synthesis ◽

Artificial Neural ◽

Ether Synthesis

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Design and Development of Cu−Zn Oxide Catalyst for Direct Dimethyl Ether Synthesis Using an Artificial Neural Network and Physicochemical Properties of Elements

Industrial & Engineering Chemistry Research ◽

10.1021/ie050640g ◽

2006 ◽

Vol 45 (14) ◽

pp. 4905-4910 ◽

Author(s):

Kohji Omata ◽

Sutarto ◽

Masahiko Hashimoto ◽

Gunji Ishiguro ◽

Yuhsuke Watanabe ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Physicochemical Properties ◽

Dimethyl Ether ◽

Oxide Catalyst ◽

Design And Development ◽

Dimethyl Ether Synthesis ◽

Artificial Neural ◽

Ether Synthesis

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Temperature profile extraction using artificial neural network in BOTDA sensor system

2015 Opto-Electronics and Communications Conference (OECC) ◽

10.1109/oecc.2015.7340143 ◽

2015 ◽

Author(s):

Abul Kalam Azad ◽

Liang Wang ◽

N. Guo ◽

C. Lu ◽

H. Y. Tam

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Temperature Profile ◽

Sensor System ◽

Artificial Neural

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Artificial Neural Network (ANN)-Aided Optimization of ZSM-5 Catalyst for the Dimethyl Ether to Olefin (DTO) Reaction from Neat Dimethyl Ether (DME)

Industrial & Engineering Chemistry Research ◽

10.1021/ie801757p ◽

2009 ◽

Vol 48 (13) ◽

pp. 6256-6261 ◽

Author(s):

Kohji Omata ◽

Yuichiro Yamazaki ◽

Yuhsuke Watanabe ◽

Kyosuke Kodama ◽

Muneyoshi Yamada

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Dimethyl Ether ◽

Artificial Neural ◽

Artificial Neural Network Ann

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Generation of Temperature Profile by Artificial Neural Network in Flow of Non-Newtonian Third Grade Fluid Through Two Parallel Plates Under Noisy Data

Lecture Notes in Mechanical Engineering - Advances in Fluid and Thermal Engineering ◽

10.1007/978-981-16-0159-0_16 ◽

2021 ◽

pp. 173-185

Author(s):

Vijay Kumar Mishra ◽

Auritro Samanta ◽

Sumanta Chaudhuri ◽

Daya Shankar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Temperature Profile ◽

Third Grade ◽

Parallel Plates ◽

Third Grade Fluid ◽

Grade Fluid ◽

Artificial Neural

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Novel optimal temperature profile for acidification process of Lactobacillus bulgaricus and Streptococcus thermophilus in yoghurt fermentation using artificial neural network and genetic algorithm

Journal of Industrial Microbiology & Biotechnology ◽

10.1007/s10295-007-0220-x ◽

2007 ◽

Vol 34 (7) ◽

pp. 491-496 ◽

Author(s):

E. B. Gueguim-Kana ◽

J. K. Oloke ◽

A. Lateef ◽

M. G. Zebaze-Kana

Keyword(s):

Neural Network ◽

Genetic Algorithm ◽

Artificial Neural Network ◽

Temperature Profile ◽

Streptococcus Thermophilus ◽

Lactobacillus Bulgaricus ◽

Optimal Temperature ◽

Artificial Neural

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Generation of temperature profile by cascade-forward type artificial neural network in flow of Non-Newtonian third grade fluid through two parallel plates with viscous dissipation

10.1063/5.0051820 ◽

2021 ◽

Author(s):

Swagatika Acharya ◽

Vijay Kumar Mishra ◽

Jitendra Kumar Patel

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Temperature Profile ◽

Viscous Dissipation ◽

Third Grade ◽

Parallel Plates ◽

Third Grade Fluid ◽

Grade Fluid ◽

Artificial Neural

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Generation of Temperature Profile by Artificial Neural Network in Flow of Non-Newtonian Third Grade Fluid Through Two Parallel Plates

Lecture Notes in Mechanical Engineering - Proceedings of International Conference on Thermofluids ◽

10.1007/978-981-15-7831-1_4 ◽

2020 ◽

pp. 39-50

Author(s):

Vijay Kumar Mishra ◽

Sumanta Chaudhuri ◽

Jitendra K. Patel ◽

Arnab Sengupta

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Temperature Profile ◽

Third Grade ◽

Parallel Plates ◽

Third Grade Fluid ◽

Grade Fluid ◽

Artificial Neural

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Development of a Co-MgO Catalyst for High-pressure Dry Reforming of Methane Based on Design of Experiment, Artificial Neural Network and Grid Search

Journal of the Japan Petroleum Institute ◽

10.1627/jpi.47.387 ◽

2004 ◽

Vol 47 (6) ◽

pp. 387-393 ◽

Author(s):

Kohji Omata ◽

Noritoshi Nukui ◽

Takahiro Hottai ◽

Yoshito Showa ◽

Muneyoshi Yamada

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

High Pressure ◽

Design Of Experiment ◽

Dry Reforming ◽

Dry Reforming Of Methane ◽

Grid Search ◽

Artificial Neural

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Generation of temperature profile by cascade-forward type artificial neural network in Non-Newtonian fluid flow problem under noisy data

10.1063/5.0050954 ◽

2021 ◽

Author(s):

Vijay K. Mishra ◽

Sushmit Patra ◽

Gaurav Gupta ◽

Sumanta Chaudhuri

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Temperature Profile ◽

Newtonian Fluid ◽

Flow Problem ◽

Artificial Neural

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Grid Search Optimised Artificial Neural Network for Open Stope Stability Prediction

International Journal of Mining Reclamation and Environment ◽

10.1080/17480930.2021.1899404 ◽

2021 ◽

pp. 1-18

Author(s):

Gamze Erdogan Erten ◽

Sinem Bozkurt Keser ◽

Mahmut Yavuz

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Grid Search ◽

Stability Prediction ◽

Artificial Neural

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