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Journal Articles

Using Support Vector Machines to Formalize the Valid Input Domain of Predictive Models in Systems Design Problems

Richard J. Malak, Jr., Christiaan J. J. Paredis

J. Mech. Des. October 2010, 132(10): 101001.

DOI: https://doi.org/10.1115/1.4002151

Published Online: September 30, 2010

... of the point being tested. Consequently, one can precompute this number. 02 10 2009 01 07 2010 30 09 2010 30 09 2010 design engineering learning (artificial intelligence) mechanical engineering computing pattern clustering statistical analysis support vector machines...

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Topics: Algorithms, Design, Engines, Machine learning, Modeling, Optimization, Support vector machines, Fittings

Journal Articles

Learning Design Rules With Explicit Termination Conditions to Enable Efficient Automated Design

Kevin Rawson, Thomas F. Stahovich

J. Mech. Des. March 2009, 131(3): 031011.

DOI: https://doi.org/10.1115/1.3066681

Published Online: March 9, 2009

... when all of the constraints are satisfied. 16 02 2008 28 10 2008 09 03 2009 CAD decision trees learning (artificial intelligence) product design production engineering computing Design researchers and practitioners have long understood the value of reusing design...

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Topics: Design

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Using Support Vector Machines to Formalize the Valid Input Domain of Predictive Models in Systems Design Problems

Learning Design Rules With Explicit Termination Conditions to Enable Efficient Automated Design

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Conference Proceedings

eBooks

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Using Support Vector Machines to Formalize the Valid Input Domain of Predictive Models in Systems Design Problems

Learning Design Rules With Explicit Termination Conditions to Enable Efficient Automated Design

Journals

Conference Proceedings

eBooks

Resources

Opportunities

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