Title :
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
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;
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
DOI :
10.1109/ICACIA.2008.4770010
