Title :
An effective training method for fully digital pulse-density modulated neural network architecture
Author :
Tomberg, Jouni ; Kaski, Kimmo
Author_Institution :
Dept. of Electr. Eng., Tampere Univ. of Technol, Finland
Abstract :
An effective training method for on-chip learning in a fully connected synchronous pulse-density modulated neural network architecture is presented. The pulse-density modulation technique and fully digital implementation offer expandable VLSI implementation with completely stand-alone operation capability. The communication with the host processor is done via buffer memory. Applications can be found in pattern recognition
Keywords :
computerised pattern recognition; learning systems; neural nets; parallel architectures; buffer memory; expandable VLSI implementation; fully connected synchronous type; fully digital implementation; neural network architecture; onchip learning; pattern recognition; pulse-density modulation; stand-alone operation capability; training method; Arithmetic; Artificial neural networks; Circuits; Digital modulation; Nerve fibers; Network-on-a-chip; Neural networks; Neurons; Pulse modulation; Robustness;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176659
