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Massively parallel GPU computing of continuum robotic dynamicsOrellana, Roberto A 30 April 2011 (has links)
Continuum robots, with the capability of bending and extending at any point along their length mimic the abilities of an octopus arm or an elephant trunk. These manipulators present a number of exciting possibilities. While calculating a static solution for the system has been proven with certain models to produce satisfactory results [1], this approach ignores the significant effects a dynamics solution captures. However, adding time and studying the physical effects produced on a continuum robot involves calculation of the robot’s shape at a number of discrete points. Typically, the separation between points will be very small and thus a solution requires large amounts of computational power. We present a method to improve calculation speed for dynamic problems with the use of CUDA, a framework for parallel GPU computing. GPUs are ideally suited for massively parallel computations because of their multi-processor architecture. Our dynamics solution will take advantage of this parallel environment.
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A study of the application of neural networks to feedback linearizationHassibi, Khosrow M. January 1991 (has links)
No description available.
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Adaptive pattern recognition approach for dynamic system control using neural networksLee, Dennis Tak-Fat January 1991 (has links)
No description available.
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ACCELERATION OF SPIKING NEURAL NETWORK ON GENERAL PURPOSE GRAPHICS PROCESSORSHan, Bing 05 May 2010 (has links)
No description available.
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Modeling and Recognition of Gestures Using a Single CameraBellando, John Louis January 2000 (has links)
No description available.
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Classification of Microarray Data to Predict Toxic ExposureSeleem, Tarek A. 28 September 2007 (has links)
No description available.
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An Integrated Stock Market Forecasting Model Using Neural NetworksLakshminarayanan, Sriram January 2005 (has links)
No description available.
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Segmentation and clustering in neural networks for image recognitionJan, Ying-Wei January 1994 (has links)
No description available.
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Comparison of ridge regression and neural networks in modeling multicollinear dataBakshi, Girish January 1996 (has links)
No description available.
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Corrosion Resistance Characterization of Coating Systems Used to Protect Aluminum Alloys Using Electrochemical Impedance Spectroscopy and Artificial Neural NetworksGambina, Federico 07 October 2010 (has links)
No description available.
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