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Hybrid Neural Network and Support Vector Machine Method for OptimizationSystem 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.
Document ID
20080009510
Acquisition Source
Headquarters
Document Type
Other - Patent
Authors
Rai, Man Mohan
Date Acquired
August 24, 2013
Publication Date
November 6, 2007
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
Patent Number: NASA-Case-ARC-14586-1Div
Patent Number: US-Patent-7,293,001
Patent Application Number: US-Patent-Appl-SN-11/274,744
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Patent
NASA-Case-ARC-14586-1Div|US-Patent-7,293,001
Patent Application
US-Patent-Appl-SN-11/274,744
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