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

Volume

3

Issue

1

fYear

1996

Firstpage

44

Lastpage

56

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;

fLanguage

English

Journal_Title

Computational Science & Engineering, IEEE

Publisher

ieee

ISSN

1070-9924

Type

jour

DOI

10.1109/99.486760

Filename

486760