Title :
A neural network based multiplier
Author :
Hu, Carl ; Sloan, Martha
Author_Institution :
Dept. of Electr. Eng., Michigan Technol. Univ., Houghton, MI, USA
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;
Conference_Titel :
Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on
Conference_Location :
Champaign, IL
DOI :
10.1109/MWSCAS.1989.101902
