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Reseach Article

Neuro-Fuzzy Network Technique for Semantic Segmentation Robotics

by Kanwaljit Kaur, Gurjit Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 179 - Number 1
Year of Publication: 2017
Authors: Kanwaljit Kaur, Gurjit Singh
10.5120/ijca2017915858

Kanwaljit Kaur, Gurjit Singh . Neuro-Fuzzy Network Technique for Semantic Segmentation Robotics. International Journal of Computer Applications. 179, 1 ( Dec 2017), 42-44. DOI=10.5120/ijca2017915858

@article{ 10.5120/ijca2017915858,
author = { Kanwaljit Kaur, Gurjit Singh },
title = { Neuro-Fuzzy Network Technique for Semantic Segmentation Robotics },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 179 },
number = { 1 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 42-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume179/number1/28703-2017915858/ },
doi = { 10.5120/ijca2017915858 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:54:11.935450+05:30
%A Kanwaljit Kaur
%A Gurjit Singh
%T Neuro-Fuzzy Network Technique for Semantic Segmentation Robotics
%J International Journal of Computer Applications
%@ 0975-8887
%V 179
%N 1
%P 42-44
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The various techniques are proposed for better semantic segmentation. The neuro-fuzzy technique is proposed for learning common nature between object and structure. The proposed technique work better for robotic environment for fast and efficient results.The proposed technique provides better accuracy as compared to previous technique and work better in semantic segmentation as compared to previous technique.

References
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Index Terms

Computer Science
Information Sciences

Keywords

3D entangled Neuro –Fuzzy Network segmentation.