Title :
A two-layer neural peak detector
Author :
Dempsey, G.L. ; Mcvey, E.S.
Author_Institution :
Sch. of Eng. & Appl. Sci., Virginia Univ., Charlottesville, VA, USA
Abstract :
Investigation of a single-layer peak detector based on the Hopfield-Tank architecture revealed that the network cannot be implemented in hardware using existing VLSI technology once the network exceeds approximately 150 neurons. It is shown that using a two-layer scheme reduces the number of neuron interconnections and thus makes hardware implementation of large networks feasible
Keywords :
VLSI; computerised signal processing; neural nets; pattern recognition; Hopfield-Tank architecture; VLSI technology; hardware implementation; large networks; neuron interconnections; pattern recognition; two-layer neural peak detector; two-layer scheme; Detectors; Integrated circuit interconnections; Logic circuits; Neurons; Radar detection; Radar signal processing; Signal processing algorithms; Sonar detection; Very large scale integration; Voltage;
Conference_Titel :
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-2470-1
DOI :
10.1109/ACSSC.1991.186626
