Title :
A programmable intelligent optical sensor realization
Author :
Lei, K.W. ; Jullien, G.A. ; Miller, W.C.
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
Abstract :
A hybrid VLSI realization of a programmable, multi-layer optically coupled neural network is described in this paper. The network itself is a fully connected, multi-layer feedforward network. It has an optical array constructed by 5×5 photosensitive elements (photoreceptor) as the input devices. The artificial neurons have been implemented by 2-stage comparators composed with differential amplifier and output inverter to model the signum (hard limiting) nonlinear function. Scaled currents generated by the cascode current mirrors are selected by the data stored on the on-chip dynamic shift register (DSR) and performed as the synaptic weights. There are 25 input nodes, 4 hidden neurons and 3 output neurons for this network. The physical realization which contains approximately 9281 devices has been designed and ready to be fabricated by 1.2 μ, double-metal, n-well full custom CMOS technology
Keywords :
CMOS analogue integrated circuits; VLSI; arrays; feedforward neural nets; intelligent sensors; neural chips; photodetectors; 1.2 micron; cascode current mirrors; comparators; differential amplifier; double-metal n-well CMOS technology; dynamic shift register; hybrid VLSI; inverter; multi-layer feedforward neural network; optical array; photoreceptors; photosensitive elements; programmable intelligent optical sensor; signum nonlinear function; Artificial intelligence; CMOS technology; Intelligent sensors; Neurons; Nonlinear optics; Optical arrays; Optical computing; Optical sensors; Stimulated emission; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location :
Lafayette, LA
Print_ISBN :
0-7803-2428-5
DOI :
10.1109/MWSCAS.1994.519280
