A Prototype CVNS Distributed Neural Network Using Synapse-Neuron Modules

Author

Khodabandehloo, Golnar ; Mirhassani, Mitra ; Ahmadi, Majid

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada

Volume

59

Issue

7

fYear

2012

fDate

7/1/2012 12:00:00 AM

Firstpage

1482

Lastpage

1490

Abstract

Continuous valued number system (CVNS) has the fulfilment of being used for building resistive-type distributed neural networks (DNNs). CVNS DNNs benefit form scalability and higher noise immunity compared to the conventional DNNs. In this paper, CVNS is used to design synapse-neuron modules to cope with the environment resolution. These modules can be employed as building blocks of distributed neural networks. A 4-3-2 network is designed and trained to justify the functionality of the proposed structure. This prototype is simulated and laid out in 0.18 μm CMOS technology.

Keywords

CMOS analogue integrated circuits; CMOS digital integrated circuits; neural nets; 4-3-2 network; CMOS technology; CVNS DNN; continuous valued number system; environment resolution; noise immunity; prototype CVNS distributed neural network; resistive-type distributed neural networks; synapse-neuron modules design; Biological neural networks; CMOS integrated circuits; Neurons; Noise; Prototypes; Random access memory; Simulation; CVNS digits; Common node; distributed neural network; resolution of environment; sigmoidal neuron; synapse-neuron module; truncated CVNS;

fLanguage

English

Journal_Title

Circuits and Systems I: Regular Papers, IEEE Transactions on

Publisher

ieee

ISSN

1549-8328

Type

jour

DOI

10.1109/TCSI.2011.2177108

Filename

6132450