| E. N. Houstis, J. R. Rice, and R. Vichnevetsky, editors. Expert Systems for Scientific Computing. North--Holland, 1992. |
....the rankings of methods. The inference engine of PYTHIA expert system was implemented by CLIPS [Gia91] system. The use of neuro fuzzy techniques in the context of PYTHIA system was explored in [JWR 96] Finally, in the series of conferences on expert systems for scientific computing [HRV90, HRV92, HRV94] several expert systems are presented for various scientific software. In this paper, we use the knowledge discovery in databases (KDD) approach ( FPSS96] which can be considered as an extension of the PYTHIA methodology by utilizing database technologies at all phases plus using ....
E. N. Houstis, J. R. Rice, and R. Vichnevetsky, editors. Expert Systems for Scientific Computing. North--Holland, 1992.
No context found.
Houstis, E. N., Rice, J. R., and Vichnevetsky, R. (Eds.) 1992. Expert Systems for Scientific Computing. North--Holland.
....[19] Still, the success of Mathematica [197] and Matlab [138] shows that some other science PSE markets, such as computational science and engineering education, are large enough to justify the requisite investments. For a view of current developments, see recent conference proceedings [106] [107], 81] as well as Section 3. It is a thesis of this report that the High Performance Computing and Communications program requires a commitment as well to the construction of scientific PSEs. 2.3 Scientific and Economic Impact Two goals for PSEs are, first, that they enable more people to solve ....
....Is it the infrastructure of networks, languages, and programming systems Is it environments that deliver the answers All of these components are essential, but the importance of the PSE is less well recognized. For the impact of computational science PSEs on science and engineering, see [81] [107]. For the impact of PSEs on economic industrial activity, see [140] 163] 186] 2.4 Grand Challenges and Petty Challenges The High Performance Computing and Communications Initiative has popularized the concept of grand challenges for computer science [109] and it is natural to relate PSEs ....
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E. N. Houstis, J. R. Rice, and R. Vichnevetsky, editors. Expert Systems for Scientific Computing. North-Holland, Amsterdam, 1992.
No context found.
Houstis, E. N., Rice, J. R., & Vichnevetsky, R. (eds). 1992. Expert Systems for Scientific Computing. Amsterdam: North-Holland. Proceedings of the Second IMACS International Conference on Expert Systems for Numerical Computing, Purdue University, April 1992.
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