Research Article

Classification of Trees by Pattern Recognition

by  Janmenjoy Nayak, Ashanta Ranjan Routray, Munesh Chandra Adhikary
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 19 - Issue 3
Published: April 2011
Authors: Janmenjoy Nayak, Ashanta Ranjan Routray, Munesh Chandra Adhikary
10.5120/2344-3064
PDF

Janmenjoy Nayak, Ashanta Ranjan Routray, Munesh Chandra Adhikary . Classification of Trees by Pattern Recognition. International Journal of Computer Applications. 19, 3 (April 2011), 10-14. DOI=10.5120/2344-3064

                        @article{ 10.5120/2344-3064,
                        author  = { Janmenjoy Nayak,Ashanta Ranjan Routray,Munesh Chandra Adhikary },
                        title   = { Classification of Trees by Pattern Recognition },
                        journal = { International Journal of Computer Applications },
                        year    = { 2011 },
                        volume  = { 19 },
                        number  = { 3 },
                        pages   = { 10-14 },
                        doi     = { 10.5120/2344-3064 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2011
                        %A Janmenjoy Nayak
                        %A Ashanta Ranjan Routray
                        %A Munesh Chandra Adhikary
                        %T Classification of Trees by Pattern Recognition%T 
                        %J International Journal of Computer Applications
                        %V 19
                        %N 3
                        %P 10-14
                        %R 10.5120/2344-3064
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

Pattern recognition has become more & more popular and it induces attractive attention coming from a wider areas. Pattern recognition is able to describe the actual problems via mathematical models. In this paper, we are classifying various south east trees by the help of pattern recognition. The training data are the cone and needle length for which we can easily classify the corresponding trees. This paper reviews the basic pattern recognition procedures for classifying various trees by taking their patterns.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Needle Cone Z-score Normalization Feed forward Neural Network

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