Title :
Deep web interfaces classification using QCGBP network
Author :
Zhang, Liang ; Lu, Yuliang ; Liu, Jinhong
Author_Institution :
Dept. of Network Eng., Electron. Eng. Inst., Hefei, China
Abstract :
This paper proposes a quantum neural network model using conjugate gradient back-propagation algorithm or QCGBP. The QCGBP model is constructed explicitly. Meanwhile, the learning rules for parameters of the network are also presented. According to the experiment result on TEL-8 datasets, QCGBP network presents better performance than conventional BP network in accelerating the convergence rate without decreasing the precise of classification.
Keywords :
Internet; backpropagation; conjugate gradient methods; neural nets; pattern classification; quantum computing; QCGBP network; conjugate gradient back-propagation algorithm; convergence rate; deep Web interfaces classification; quantum neural network model; Artificial neural networks; Classification algorithms; Computational modeling; Convergence; Neurons; Quantum computing; Training; conjugate gradient back-propagation; deep Web; interface classification; quantum neural network;
Conference_Titel :
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4244-6002-1
DOI :
10.1109/ICCSE.2010.5593580
