A DEVELOPMENT OF VON NEUMANN MACHINES WITH ARTIFICAL NEURO-GLIA NETWORK


Ankush Rai, Jagadeesh Kannan R

Abstract


Artificial Neuro–Glia Networks (ANGNs) are upcoming approach in soft computing wherein the effects biological counterpart of artificial glia cells are used to support pattern based growth mechanism in artificial neural network. In this study we present a mathematical model of such ANGNs to build a von neumann machine. This method will properly learn its parameters for increasing the growth of neural network which can be used for solving several scaling problems in computing.  


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About this article

Title

A DEVELOPMENT OF VON NEUMANN MACHINES WITH ARTIFICAL NEURO-GLIA NETWORK

DOI

10.22159/ajpcr.2017.v10s1.19975

Date

01-04-2017

Additional Links

Manuscript Submission

Journal

Asian Journal of Pharmaceutical and Clinical Research
Special Issue April 2017 Page: 394-398

Print ISSN

0974-2441

Online ISSN

2455-3891

Authors & Affiliations

Ankush Rai
School of Computer Science & Engineering, VIT University, Chennai, Tamil Nadu, India.
India

Jagadeesh Kannan R
School of Computer Science & Engineering, VIT University, Chennai, Tamil Nadu, India.
India


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