DocumentCode :
770896
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
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
Link To Document :
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