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Intelligent Computing of Levenberg-Marquard Technique Backpropagation Neural Networks for Numerical Treatment of Squeezing Nanofluid Flow between Two Circular Plates

Author

Listed:
  • Hakeem Ullah
  • Mehreen Fiza
  • Muhammad Asif Zahoor Raja
  • Imran Khan
  • Muhammad Shoaib
  • Seham M. Al-Mekhlafi
  • Arshad Riaz

Abstract

This study presents new techniques based on the artificial intelligence neural network with Levenberg-Marquardt Scheme with backpropagation (ANN-LMS). The boundary value problem BVP is obtained from the governing equations of the flow model. Along with ANN-LMS, the semianalytical method namely the optimal homotopy analysis method (OHAM) is used for validating the results. ANN-LMS optimized the absolute error and increased the accuracy of the solution. The effect of physical parameters is discussed with the help of plots and tables.

Suggested Citation

  • Hakeem Ullah & Mehreen Fiza & Muhammad Asif Zahoor Raja & Imran Khan & Muhammad Shoaib & Seham M. Al-Mekhlafi & Arshad Riaz, 2022. "Intelligent Computing of Levenberg-Marquard Technique Backpropagation Neural Networks for Numerical Treatment of Squeezing Nanofluid Flow between Two Circular Plates," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, August.
    • Handle: RePEc:hin:jnlmpe:9451091
    DOI: 10.1155/2022/9451091
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