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...
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
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...
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...
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...