Title :
Design of CMOS quadratic neural networks
Author :
Fakhraie, S. Mehdi ; Xu, J.M. ; Smith, K.C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Abstract :
In this work, we introduce an analog implementation technique for a class of quadratic artificial neural networks, in which the intrinsic quadratic characteristic of an MOS transistor in its saturation region has been employed. Test chips implemented in a 1.2 μm CMOS technology have shown full functionality as designed and demonstrate circular discriminating surfaces
Keywords :
CMOS analogue integrated circuits; VLSI; analogue processing circuits; discriminators; integrated circuit design; neural chips; 1.2 mum; CMOS quadratic neural networks design; MOS transistor; analog implementation technique; circular discriminating surfaces; functionality; intrinsic quadratic characteristic; quadratic artificial neural networks; saturation region; test chips; Artificial neural networks; Biological neural networks; Biological system modeling; CMOS technology; MOSFETs; Neural networks; Neurons; Pattern recognition; Prototypes; Testing;
Conference_Titel :
Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-2553-2
DOI :
10.1109/PACRIM.1995.519577
