A combined neural network and simulated annealing based inverse technique to optimize the heat source control parameters in heat treatment furnaces

DOI10.1080/17415977.2020.1719087zbMath1466.80009OpenAlexW3004744624MaRDI QIDQ4991518

Swapnil Tripathi, Malay K. Das, Shailendra Asati, Rahul Yadav

Publication date: 3 June 2021

Published in: Inverse Problems in Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/17415977.2020.1719087

zbMATH Keywords

optimizationheat sourceinverse solution

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Ill-posed problems for PDEs (35R25) Inverse problems for PDEs (35R30) Optimization problems in thermodynamics and heat transfer (80M50) Numerical methods for inverse problems for boundary value problems involving PDEs (65N21) Inverse problems in thermodynamics and heat transfer (80A23)

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Uses Software

• Matlab
• RAD-NNET
• ASA

Cites Work

• Unnamed Item
• RAD-NNET, a neural network based correlation developed for a realistic simulation of the non-gray radiative heat transfer effect in three-dimensional gas-particle mixtures
• A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
• Application of inverse analysis to illumination design
• Estimation of convective heat transfer coefficient from transient liquid crystal data using an inverse technique
• A method for the solution of certain non-linear problems in least squares