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TNN
2010
182views Management» more  TNN 2010»
15 years 1 months ago
A discrete-time neural network for optimization problems with hybrid constraints
Abstract--Recurrent neural networks have become a prominent tool for optimizations including linear or nonlinear variational inequalities and programming, due to its regular mathem...
Huajin Tang, Haizhou Li, Zhang Yi
240
Voted
ICASSP
2011
IEEE
14 years 10 months ago
Extensions of recurrent neural network language model
We present several modifications of the original recurrent neural network language model (RNN LM). While this model has been shown to significantly outperform many competitive l...
Tomas Mikolov, Stefan Kombrink, Lukas Burget, Jan ...
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 25 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