The Research of Leaves Characteristics

DOI

10.2991/icsnce-16.2016.89How to use a DOI?

Keywords

Eigen value leaf index; BP neural networks; Multivariate analysis; Regression analysis

Abstract

The classification of leaves and the shapes of leaves related to the leaf characteristics, such as the aspect ratio is the main judgement standard of a leaf. Now, we collect the data of the leaves from trees. By building the BP neural network model, we can obtain the classification results. Then considering the veins of the leaves, gene, evolution, environmental factors, by clustering analysis, obtaining the reason why leaves have different shapes.While studying the model of the growth of the trees, it found that the branch of a tree structure on the outline of the outline of basic without the influence, so it can just research the relation between leaf form and the outline of trees,.For the collected data using linear least squares fitting, we obtained leaf form and the relationship between the tree.Through a regression model, finding that leaf form index and tree index has certain negative correlation.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhenshen Zhu
AU  - Yanliu Nie
AU  - Liyun Wang
PY  - 2016/07
DA  - 2016/07
TI  - The Research of Leaves Characteristics
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 457
EP  - 461
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.89
DO  - 10.2991/icsnce-16.2016.89
ID  - Zhu2016/07
ER  -