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Hybrid neural network and support vector machine method for optimization (Document No: 20080009510)
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Copyright Year | 2007 |
| Description | 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. |
| File Size | 1231938 |
| Page Count | 24 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20080009510 |
| Archival Resource Key | ark:/13960/t6c29vx1w |
| Language | English |
| Publisher Date | 2007-11-06 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics, Artificial Intelligence And Robotics Patents Neural Nets Vector Analysis Optimization Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Patent |
