Constraint Methods for Neural Networks and Computer Graphics
<p>Both computer graphics and neural networks are related, in that they model natural phenomena. Physically-based models are used by computer graphics researchers to create realistic, natural animation, and neural models are used by neural network researchers to create new algorithms or new ci...
Main Author: | Platt, John Carlton |
---|---|
Format: | Others |
Language: | en |
Published: |
1989
|
Online Access: | https://thesis.library.caltech.edu/617/3/platt-j_1989.pdf Platt, John Carlton (1989) Constraint Methods for Neural Networks and Computer Graphics. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/vnt8-kh55. https://resolver.caltech.edu/CaltechETD:etd-02122007-152609 <https://resolver.caltech.edu/CaltechETD:etd-02122007-152609> |
Similar Items
-
Accurate and precise computation using analog VLSI, with applications to computer graphics and neural networks
by: Kirk, David B.
Published: (1993) -
Evaluation of Artificial Neural Network Computing Performance on Graphics Processor Unit
by: 黃健銘
Published: (2013) -
Computer graphics for directed graph design methods
by: Hargreaves, John
Published: (1975) -
Method of computing on graphics processors
by: I. N. Hubchyk, et al.
Published: (2019-06-01) -
Procedural methods in computer graphics
by: Tommasi, Gianpaolo Francesco Maria
Published: (1990)