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Design of Neural Estimator for Non-Linear Interacting Process

by F Fareeza, B. Rama Murthy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 85 - Number 2
Year of Publication: 2014
Authors: F Fareeza, B. Rama Murthy
10.5120/14817-3045

F Fareeza, B. Rama Murthy . Design of Neural Estimator for Non-Linear Interacting Process. International Journal of Computer Applications. 85, 2 ( January 2014), 40-47. DOI=10.5120/14817-3045

@article{ 10.5120/14817-3045,
author = { F Fareeza, B. Rama Murthy },
title = { Design of Neural Estimator for Non-Linear Interacting Process },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 85 },
number = { 2 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 40-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume85/number2/14817-3045/ },
doi = { 10.5120/14817-3045 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:01:29.368945+05:30
%A F Fareeza
%A B. Rama Murthy
%T Design of Neural Estimator for Non-Linear Interacting Process
%J International Journal of Computer Applications
%@ 0975-8887
%V 85
%N 2
%P 40-47
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Real processes often exhibit non-linear behavior; time variance and delay between input and output, having a vast amount of highly correlated data and this correlation need to be utilized in the design of estimator. In this work, an interacting non-linear (conical tank) is taken for study and a neural estimator is designed using Data driven approach. The neural network is developed in hardware on a customized Linux kernel and implemented using python language. The second order training algorithm is modified using a batch update strategy and this approach along with the hardware implementation reduces the estimator training period and makes it highly suited to online.

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Index Terms

Computer Science
Information Sciences

Keywords

Non linear process Non-Interacting system neural estimator Back Propagation scheme Hardware implementation

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