An advanced solution design for Heat Conduction Equation: Adaptive fuzzy approach

Yung-Yu Chen, Shyang Jye Chang

Research output: Contribution to journalArticlepeer-review


A new technique using an adaptive fuzzy algorithm to obtain the solution of "Heat Conduction Equation" (HCE) is presented. The design objective is to find one fuzzy solution to satisfy precisely the "Heat Conduction Equation" encountered in practical application and the initial/boundary conditions. According to the concept of fuzzy logic systems, a rough fuzzy solution with adjustable parameters for the "Heat Conduction Equation" is first described. Then, a set of adaptive laws for tuning the free parameters in the consequent part is derived from minimizing an appropriate error function. In addition, an elegant approximated error bound between the exact solution and the proposed fuzzy solution with respect to the number of fuzzy rules and solution errors has also been proven. Furthermore, the error equations in mesh points are also proven to converge to zero for the "Heat Conduction Equation" with one sufficient condition. As the above mentions, our design objective is to treat the solution finding problem of the "Heat Conduction Equation" with a really new fuzzy approach concept.

Original languageEnglish
Pages (from-to)863-867
Number of pages5
JournalAdvanced Science Letters
Publication statusPublished - 2012 Aug 2

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Health(social science)
  • Mathematics(all)
  • Education
  • Environmental Science(all)
  • Engineering(all)
  • Energy(all)


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