Hybrid genetic algorithm-self organizing map network for decision support system: An application in combined mode conduction-radiation heat transfer in porous medium-Reference-Cited by-同舟云学术

Hybrid genetic algorithm-self organizing map network for decision support system: An application in combined mode conduction-radiation heat transfer in porous medium

Published:2023-07-06 Issue:5 Volume:84 Page:642-664
ISSN:1040-7790
Container-title:Numerical Heat Transfer, Part B: Fundamentals
language:en
Short-container-title:Numerical Heat Transfer, Part B: Fundamentals

Author:

Ansari MD Mumtaz A.¹,Sahu Kunja B.¹,Chaudhuri Sumanta¹,Srikanth Jujjuvarapu¹,Sahu Debjyoti¹,Mishra Vijay K.¹^ORCID

Affiliation:

1. School of Mechanical Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Mechanics of Materials,Condensed Matter Physics,Modeling and Simulation,Numerical Analysis

Link

https://www.tandfonline.com/doi/pdf/10.1080/10407790.2023.2216873

Reference57 articles.

1. Applications of the self-organising map to reinforcement learning

2. Using deep learning to learn physics of conduction heat transfer

3. New loss functions to improve deep learning estimation of heat transfer

4. The growing hierarchical self-organizing map: exploratory analysis of high-dimensional data

5. Self organization of a massive document collection

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