DocumentCode :
2573529
Title :
CMOS mixed digital analog reconfigurable neural network with Gaussian synapses
Author :
Al-Zeftawi, Ahmed N. ; El-Fattah, Khaled M Abd ; Shanan, Hymn N. ; Kamel, Tarek S.
Author_Institution :
Dept. of Electron. & Electr. Commun., Cairo Univ., Egypt
Volume :
3
fYear :
2000
fDate :
29-31 May 2000
Firstpage :
1198
Abstract :
In the neuromorphic arena, different engineering problems require different neural network topologies. In view of this concept, the motivation was to build a reconfigurable neural network chip. The distributed Gaussian-neuron synapse is introduced as a new type of synapses. Also a new improved resolution current-mode winner-takes-all circuit is added to realize a self-organizing topology. The chip is organized into 4 partially connected tiles with 4×3 fully connected neurons per tile. The chip was fabricated through MOSIS in 1.2 μm AMI CMOS process occupying an area of 2 mm ×2 mm.
Keywords :
CMOS integrated circuits; mixed analogue-digital integrated circuits; neural chips; reconfigurable architectures; self-organising feature maps; 1.2 mum; 2 mm; CMOS mixed digital analog reconfigurable neural network; Gaussian synapses; MOSIS; distributed Gaussian-neuron synapse; engineering problems; neural network topologies; reconfigurable neural network chip; resolution current-mode winner-takes-all circuit; self-organizing topology; Associate members; Circuit topology; Immune system; Integrated circuit interconnections; Network topology; Neural networks; Neurons; Switches; Tiles; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean
Print_ISBN :
0-7803-6290-X
Type :
conf
DOI :
10.1109/MELCON.2000.879750
Filename :
879750
Link To Document :
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