Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2005-11-01
2005-11-01
Hirl, Joseph P. (Department: 2121)
Data processing: artificial intelligence
Neural network
Learning task
C706S019000, C706S025000
Reexamination Certificate
active
06961719
ABSTRACT:
System and method for optimization of a design associated with a response function, using a hybrid neural net and support vector machine (NN/SVM) analysis to minimize or maximize an objective function, optionally subject to one or more constraints. As a first example, the NN/SVM analysis is applied iteratively to design of an aerodynamic component, such as an airfoil shape, where the objective function measures deviation from a target pressure distribution on the perimeter of the aerodynamic component. As a second example, the NN/SVM analysis is applied to data classification of a sequence of data points in a multidimensional space. The NN/SVM analysis is also applied to data regression.
REFERENCES:
patent: 4837798 (1989-06-01), Cohen et al.
patent: 4910765 (1990-03-01), Matsuse et al.
patent: 5513126 (1996-04-01), Harkins et al.
patent: 5630060 (1997-05-01), Tang et al.
patent: 5740231 (1998-04-01), Cohn et al.
patent: 5781186 (1998-07-01), Jennings
patent: 5848415 (1998-12-01), Guck
patent: 5864870 (1999-01-01), Guck
patent: 6034970 (2000-03-01), Levac et al.
patent: 6073165 (2000-06-01), Narasimhan et al.
patent: 6119137 (2000-09-01), Smith et al.
patent: 6157945 (2000-12-01), Balma et al.
patent: 6167441 (2000-12-01), Himmel
patent: 6212550 (2001-04-01), Segur
patent: 2001/0031076 (2001-10-01), Campanini et al.
patent: 2003/0040904 (2003-02-01), Whitman et al.
patent: 2003/0078850 (2003-04-01), Hartman et al.
J. A. K. Suykens et al, Recurrent Least Squares Support Vector Machines, Jul. 2000, IEEE, 1057-7122/00, 1109-1114.
Pascal Vincent et al, A Neural Support Vector Network Architecture with Adaptive Kernels, 2000, IEEE,0-7695-0619-4, 187-19.
Vladimir N. Vapnik, An Overview of Statistical Learning Theory, 1999, IEEE, 1045-9227/99.
M.M. Rai and N.K. Madavan, “Aerodynamic Design Using Neural Networks”, AIAA Jour., vol. 38 (2000).
V.N. Vapnik, “An Overview of Statistical Learning Theory”, IEEE Trans. on Neural Networks, vol. 10 (1999) pp. 988-999.
Hirl Joseph P.
Padilla Robert M.
Schipper John F.
The United States of America as represented by the Administrator
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