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JMLR
2010
160views more  JMLR 2010»
14 years 10 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
ETFA
2008
IEEE
15 years 10 months ago
A neural network delay compensator for networked control systems
This paper presents a neural network delay compensator to reduce the variable sampling to actuation delay effects in networked control systems The compensator action is based on t...
Ana Antunes, Fernando Morgado Dias, Alexandre Mota
INFOCOM
1991
IEEE
15 years 7 months ago
A Neural Network Approach to Routing in Multihop Radio Networks
Although the issues of routing and scheduling in packet radio networks are highly interdependent, few studies have addressed their interactions. In this paper, we address the prob...
Jeffrey E. Wieselthier, Craig M. Barnhart, Anthony...
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JDCTA
2010
191views more  JDCTA 2010»
14 years 10 months ago
Improved Wavelet Neural Network Based on Hybrid Genetic Algorithm Applicationin on Fault Diagnosis of Railway Rolling Bearing
The method of improved wavelet transform neural network based on hybrid GA(genetic algorithm) is presented to diagnose rolling bearings faults in this paper. Genetic Artificial Ne...
Guoqiang Cai, Limin Jia, Jianwei Yang, Haibo Liu
SBRN
1998
IEEE
15 years 8 months ago
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories
This paper proposes an unsupervised neural algorithm for trajectory production of a 6-DOF robotic arm. The model encodes these trajectories in a single training iteration by using...
Guilherme De A. Barreto, Aluizio F. R. Araú...