@inproceedings{2eff4d33c1d0450898d9e1f188e4c3c5,
title = "A hybrid training mechanism for applying neural networks to web-based applications",
abstract = "This paper proposes a hybrid training neural network and applying it to the Accuracy Counter (AC) developed previously. The neural network is used for detecting the cheating model for abnormal browsing behaviors performed by users in the conflicting environment. The most significant issue, training, should be taken into consideration while we are applying the neural network to web-based applications such like the Accuracy Counter. Therefore, we design a hybrid web-based training mechanism for neural networks to deal with this kind of training problem. Finally, we also find out that the AC's block rate for detecting the abnormal browsing behaviors is increasing from 61% (rule-based) to 76% (neural networks with hybrid training mechanism) in the efficient and acceptable training period.",
keywords = "Neural network, Online training, Web counter",
author = "Chu, {Ko Kang} and Maiga Chang and Hsia, {Yen Teh}",
year = "2004",
doi = "10.1109/ICSMC.2004.1400891",
language = "English",
isbn = "0780385667",
series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",
pages = "3543--3547",
booktitle = "2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004",
note = "2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 ; Conference date: 10-10-2004 Through 13-10-2004",
}