Data Classification based on Artificial Neural Networks

Author

Gu, Xiao-Feng ; Liu, Lin ; Li, Jian-ping ; Huang, Yuan-Yuan ; Lin, Jie

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu

fYear

2008

fDate

13-15 Dec. 2008

Firstpage

223

Lastpage

226

Abstract

Data classification has been studied widely in the fields of Artificial Intelligence, Machine Learning, Data Mining and Pattern Recognition. Up to the present, the development of classification has made great achievements, and many kinds of classified technology and theory will continue to emerge. This paper discusses a great deal of classification algorithms based on the Artificial Neural Networks, such as the perceptron, back propagation network and probabilistic neural networks. According to analysis these classification, we mainly concern these strengths and weaknesses and performance.

Keywords

backpropagation; data mining; neural nets; pattern classification; probability; artificial intelligence; artificial neural networks; back propagation network; classification algorithms; data classification; data mining; machine learning; pattern recognition; perceptron; probabilistic neural networks; Artificial intelligence; Artificial neural networks; Computer science; Data engineering; Data mining; Machine learning; Neurons; Pattern analysis; Pattern recognition; Wavelet analysis; Artificial neural networks; back propagation network; classification; perceptron; probabilistic neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Apperceiving Computing and Intelligence Analysis, 2008. ICACIA 2008. International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3427-5

Electronic_ISBN

978-1-4244-3426-8

Type

conf

DOI

10.1109/ICACIA.2008.4770010

Filename

4770010