Applying neural networks to the solution of forward and inverse heat conduction problems

@article{Deng2006ApplyingNN,
  title={Applying neural networks to the solution of forward and inverse heat conduction problems},
  author={S. Deng and Y. Hwang},
  journal={International Journal of Heat and Mass Transfer},
  year={2006},
  volume={49},
  pages={4732-4750}
}
  • S. Deng, Y. Hwang
  • Published 2006
  • Computer Science
  • International Journal of Heat and Mass Transfer
This paper employs the continuous-time analogue Hopfield neural network to compute the temperature distribution in forward heat conduction problems and solves inverse heat conduction problems by using a back propagation neural (BPN) network to identify the unknown boundary conditions. The weak generalization capacity of BPN networks is improved by employing the Bayesian regularization algorithm. The feasibility of the proposed method is examined in a series of numerical simulations. The results… Expand
A parallel GA-BP neural network algorithm for solving inverse heat conduction problem
  • Y. Chen, Li Ma, Qingping Guo
  • Computer Science
  • Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology
  • 2011
A parallel GA-BP neural network algorithm for solving inverse heat conduction problem
Inverse estimation of location of internal heat source in conduction
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 43 REFERENCES
Inverse Heat Conduction: Ill-Posed Problems
...
1
2
3
4
5
...