Title :
Neuro-fuzzy support for problem-solving environments: a step toward automated solution of PDEs
Author :
Joshi, Anupam ; Weerawarana, Sanjiva ; Ramakrishnan, Narendran ; Houstis, Elias N. ; Rice, John R.
Author_Institution :
Dept. of Comput. Sci., Purdue Univ., West Lafayette, IN, USA
Abstract :
In the “problem-solving environments” that will one day free scientists and engineers from many algorithmic and computing details, computational intelligence techniques such as neural networks and fuzzy logic can help automate the choice of the best solution methods. Classifying the problems, illustrated in this article by using partial differential equations (PDEs) as an example, is a first step
Keywords :
fuzzy logic; fuzzy neural nets; mathematics computing; partial differential equations; pattern classification; problem solving; Pythia; automated solution; computational intelligence techniques; fuzzy logic; neural networks; neuro-fuzzy support; partial differential equations; problem classification; problem-solving environments; Application software; Concurrent computing; Hardware; Ice; Parallel processing; Partial differential equations; Pervasive computing; Physics computing; Problem-solving; Workstations;
Journal_Title :
Computational Science & Engineering, IEEE