DocumentCode
1968416
Title
A neural network based multiplier
Author
Hu, Carl ; Sloan, Martha
Author_Institution
Dept. of Electr. Eng., Michigan Technol. Univ., Houghton, MI, USA
fYear
1989
fDate
14-16 Aug 1989
Firstpage
505
Abstract
Neural networks provide a method for quickly calculating solutions to problems that require iteration. Multiplication can be viewed as an iterative feedback process, much like other problems (such as pattern recognition) to which neural networks have been applied. Using the collective decision-making capabilities of a neural network in summing the partial product tree of multiplication is discussed. The resulting design, a simulation of performance, and comparison with other multiplication schemes are presented
Keywords
analogue computer circuits; multiplying circuits; neural nets; parallel processing; collective decision-making capabilities; iterative feedback process; multiplication schemes; neural network based multiplier; partial product tree; summing; Biological system modeling; Biology computing; Computer architecture; Computer networks; Decision making; Hardware; Neural networks; Neurofeedback; Neurons; Registers;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location
Champaign, IL
Type
conf
DOI
10.1109/MWSCAS.1989.101902
Filename
101902
Link To Document