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CONNECTION
2004
98views more  CONNECTION 2004»
13 years 9 months ago
Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting
While humans forget gradually, highly distributed connectionist networks forget catastrophically: newly learned information often completely erases previously learned information. ...
Bernard Ans, Stephane Rousset, Robert M. French, S...
ISSA
2004
13 years 11 months ago
Utilizing Neural Networks For Effective Intrusion Detection
Computer security, and intrusion detection in particular, has become increasingly important in today's business environment, to help ensure safe and trusted commerce between ...
Martin Botha
ICONIP
2008
13 years 11 months ago
Improvement of Practical Recurrent Learning Method and Application to a Pattern Classification Task
Practical Recurrent Learning (PRL) has been proposed as a simple learning algorithm for recurrent neural networks[1][2]. This algorithm enables learning with practical order O(n2 )...
Mohamad Faizal Bin Samsudin, Katsunari Shibata
CIBCB
2005
IEEE
14 years 3 months ago
An Internet-based Melanoma Diagnostic System - Toward the Practical Application
— In this paper, we report a practical application of world’s first internet-based melanoma diagnostic system. The system is now available from all over the world, 24 hours 36...
Hitoshi Iyatomi, Hiroshi Oka, Masahiro Hashimoto, ...
ICANN
2005
Springer
14 years 3 months ago
Some Issues About the Generalization of Neural Networks for Time Series Prediction
Abstract. Some issues about the generalization of ANN training are investigated through experiments with several synthetic time series and real world time series. One commonly acce...
Wen Wang, Pieter H. A. J. M. van Gelder, J. K. Vri...