the simulation of the optimal classification mathematical model based on chaos probabilistic analysis
Year: 2015
Type: conference-paper
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.
Authors: Chunyan Lv, Chuan He, Erwei Wang
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2094104684