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CONNECTION
2004
98views more  CONNECTION 2004»
15 years 6 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...
CDC
2008
IEEE
228views Control Systems» more  CDC 2008»
16 years 1 months ago
Stability analysis for neural networks with time-varying delay
— This paper studies the problem of stability analysis for neural networks (NNs) with a time-varying delay. The activation functions are assumed to be neither monotonic, nor diff...
Xun-Lin Zhu, Guang-Hong Yang
IJCNN
2007
IEEE
16 years 1 months ago
A Sound Localization and Recognition System using Pulsed Neural Networks on FPGA
— Pulsed neurons are suitable for processing time series data, like sound signals, and can be easy implemented in hardware. In this paper, we propose an aural information process...
Kaname Iwasa, Mauricio Kugler, Susumu Kuroyanagi, ...
ICCS
2007
Springer
16 years 26 days ago
Using FCA for Encoding Closure Operators into Neural Networks
After decades of concurrent development of symbolic and connectionist methods, recent years have shown intensifying efforts of integrating those two paradigms. This paper contribu...
Sebastian Rudolph
ICANN
2005
Springer
16 years 6 days ago
CrySSMEx, a Novel Rule Extractor for Recurrent Neural Networks: Overview and Case Study
In this paper, it will be shown that it is feasible to extract finite state machines in a domain of, for rule extraction, previously unencountered complexity. The algorithm used i...
Henrik Jacobsson, Tom Ziemke