Part of the Lecture Notes in Physics book series (LNP, volume 218)
Potential application of artificial intelligence concepts to numerical aerodynamic simulation
KeywordsComputational Fluid Dynamic Expert System Grid Generation Grid Topology Computational Fluid Dynamic Computation
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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- 1.Mueller, G. E., “The Future of Data Processing in Aerospace,” Aeronaut. J., Apr. 1979, pp. 149–158.Google Scholar
- 2.Fleckenstein, W. O., “Challenges in Software Development,” Computer, Mar. 1983, pp. 60–64.Google Scholar
- 3.Hayes-Roth, F., Waterman, D. A., and Lenat, D. B., Eds., Building Expert Systems, Teknowledge Series in Knowledge Engineering, Vol. 1, Addison-Wesley Publishing Co., Inc., 1983.Google Scholar
- 4.Feigenbaum, E. A. and McCorduck, P., The Fifth Generation, Addison-Wesley Publishing Co., Inc., 1983.Google Scholar
- 5.Gevarter, W. B., “Expert Systems — Limited but Powerful,” IEEE Spectrum, Aug. 1983, pp. 39–45.Google Scholar
- 6.Gevarter, W. B., “An Overview of Artificial Intelligence and Robotics. Vol. I. Artificial Intelligence, Pt. A: The Core Ingredients,” NASA TM-85836, June 1983.Google Scholar
- 7.Barr, A. and Feigenbaum, E. A., The Handbook of Artificial Intelligence, Vol. 2, William Kaufmann, Inc., 1982.Google Scholar
- 8.Kutler, P., “A Perspective of Theoretical and Applied Computational Fluid Dynamics,” AIAA Paper 83-0037, Reno, Nev., 1983.Google Scholar
- 9.Hayes-Roth, F., “Codifying Human Knowledge for Machine Reading,” IEEE Spectrum, Nov. 1983, pp. 79–81.Google Scholar
- 10.Kutler, P. and Mehta, U. B., “Computational Aerodynamics and Artificial Intelligence,” AIAA Paper 84-1531, Snowmass, Colo., June 1984.Google Scholar
© Springer-Verlag 1985