Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

Optimization of classification theory and application in stochastic functional analysis

Authors
Xiuli Yuan
Corresponding Author
Xiuli Yuan
Available Online April 2015.
DOI
10.2991/amcce-15.2015.204How to use a DOI?
Keywords
stochastic functional; support vector machine; convergence; data classification
Abstract

A class of stochastic functional differential equation boundary value convergence problem is researched, and the support vector machine (SVM) optimization classification theory is taken for the data classification, and the training sample set processing algorithm is proposed based on the stochastic functional analysis, the stability and convergence of the stochastic functional characteristics is improved, new algorithm can effectively absorb or eliminate redundant information and avoid additional data, repeatedly re calculation can be avoided, it can radically reduce the number of iterations and calculation cost. Stability properties of positive semidefinite minimum positive characteristic zonal sparse conditions is proved by mathematical deduction, the line approximation error continuous edge stability analysis is taken for stochastic functional value, singular decomposition is taken with conjugate gradient method, the boundary conditions are incorporated into the stochastic functional elliptic function, the small positive semidefinite minimum feature of the stiffness matrix is given, the asymptotic convergence condition of Stochastic Functional Differential Equations is obtained, and the boundary value is solved. KDD_CUP2012 database is used in simulation for data classification, simulation results show that, the classification model can classify all kinds of data and reorganize the data effectively. It can improve the data processing ability, guarantee the convergence of stochastic functional differential equations boundary value.

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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Volume Title
Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
10.2991/amcce-15.2015.204
ISSN
1951-6851
DOI
10.2991/amcce-15.2015.204How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Xiuli Yuan
PY  - 2015/04
DA  - 2015/04
TI  - Optimization of classification theory and application in stochastic functional analysis
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 643
EP  - 649
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.204
DO  - 10.2991/amcce-15.2015.204
ID  - Yuan2015/04
ER  -