the simulation of the optimal classification mathematical model based on chaos probabilistic analysis
- 10.2991/iccset-14.2015.60How to use a DOI?
- chaos; probability analysis; classification; mathematical model
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.
- © 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/).
Cite this article
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 -