the simulation of the optimal classification mathematical model based on chaos probabilistic analysis

DOI

10.2991/iccset-14.2015.60How to use a DOI?

Keywords

chaos; probability analysis; classification; mathematical model

Abstract

This paper proposes the establishment and simulation of one optimal classification mathematical model based on chaos probability analysis. A kind of recurrence plot chaotic analysis algorithm is applied to recognize the mathematical classification features and the improved neural network algorithm is used to design the mathematical classification model. The simulation experiments illustrate the proposed classification mathematical model can effectively classify and reorganize each types of data with satisfactory performance. The error rates are reduced averagely by 13% compared with the neural network classifiers, which reflects the superior performance of the algorithm. The proposed algorithm can be effectively applied in the classification reorganization fields, such as data mining, troubleshooting diagnosis and targets identification.

Copyright

© 2015, 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  - Chunyan Lv
AU  - Chuan He
AU  - Erwei Wang
PY  - 2015/01
DA  - 2015/01
TI  - the simulation of the optimal classification mathematical model based on chaos probabilistic analysis
BT  - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 278
EP  - 281
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccset-14.2015.60
DO  - 10.2991/iccset-14.2015.60
ID  - Lv2015/01
ER  -