DocumentCode :
2558838
Title :
The design of Neural A/D converter using neuron-MOS transistor
Author :
Hang, Guoqiang ; Wang, Guofei ; Hu, Xiaohui
fYear :
2012
fDate :
29-31 May 2012
Firstpage :
485
Lastpage :
488
Abstract :
A novel circuit realization of two parallel A/D converters based on the Hopfield´s neural network is presented. The two neural A/D converters are constructed with comparators and Schmitt triggers, respectively, and they are all designed by using neuron-MOS transistors. The benefit of the proposed circuit realization with neuron-MOS transistors is that the structure of the circuit has been simplified significantly. The proposed circuits can be fabricated by standard CMOS process with a 2-ploy layer. From the HSPICE simulation results using TSMC 0.35μm double-polysilicon CMOS technology, the effectiveness of the proposed approach is validated.
Keywords :
CMOS integrated circuits; Hopfield neural nets; MOSFET; SPICE; analogue-digital conversion; comparators (circuits); integrated circuit design; trigger circuits; HSPICE simulation; Hopfield neural network; Schmitt trigger; TSMC double-polysilicon CMOS technology; circuit realization; comparator; neural A/D converter design; neuron-MOS transistor; size 0.35 mum; CMOS process; Hopfield neural networks; Logic gates; Neurons; Simulation; Threshold voltage; Transistors; A/D converter; Hopfield neural network; Neuron MOS transistor; Schmitt trigger;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
ISSN :
2157-9555
Print_ISBN :
978-1-4577-2130-4
Type :
conf
DOI :
10.1109/ICNC.2012.6234650
Filename :
6234650
Link To Document :
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