Back to Search
Start Over
Fuzzy ART Neural Network Parallel Computing on the GPU.
- Source :
- Computational & Ambient Intelligence; 2007, p463-470, 8p
- Publication Year :
- 2007
-
Abstract
- Graphics Processing Units (GPUs) have evolved into powerful programmable processors, faster than Central Processing Units (CPUs) regarding the execution of parallel algorithms. In this paper, an implementation of a Fuzzy ART Neural Network on the GPU is presented. Experimental results show training process is slower on the GPU than on a dual-core Pentium 4 at 3.2 GHz. Once the Neural Network has been trained, the proposed design manages to accelerate Fuzzy ART testing process up to 33 times on a GeForce 7800GT graphics card. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540730064
- Database :
- Complementary Index
- Journal :
- Computational & Ambient Intelligence
- Publication Type :
- Book
- Accession number :
- 33147733
- Full Text :
- https://doi.org/10.1007/978-3-540-73007-1_57