Dong Nan

According to our database1, Dong Nan authored at least 14 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2022
Compound robust tracking control of disturbed quadrotor unmanned aerial vehicles: A data-driven cascade control approach.
Trans. Inst. Meas. Control, 2022

Data-Driven Backstepping Sliding-Mode Control of Disturbed QUAVs.
IEEE Access, 2022

2020
Data-driven robust PID control of unknown USVs.
Proceedings of the International Conference on System Science and Engineering, 2020

2019
Necessary Condition of Affine Moment Invariants.
J. Math. Imaging Vis., 2019

Units and Layers' Effects on Deep Boltzman Machines.
Proceedings of the 3rd International Conference on Computer Science and Application Engineering, 2019

2016
A Variational Framework for Single Image Dehazing Based on Restoration.
KSII Trans. Internet Inf. Syst., 2016

2014
Research on visual object tracking by dynamic and static metric.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2008
A comment on "Relaxed conditions for radial-basis function networks to be universal approximators".
Neural Networks, 2008

Recurrent neural network model for computing largest and smallest generalized eigenvalue.
Neurocomputing, 2008

2007
L<sup>P</sup> Approximation Capabilities of Sum-of-Product and Sigma-pi-Sigma Neural Networks.
Int. J. Neural Syst., 2007

Uniform Approximation Capabilities of Sum-of-Product and Sigma-Pi-Sigma Neural Networks.
Proceedings of the Advances in Neural Networks, 2007

Approximation to a Compact Set of Functions by Feedforward Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2007

Uniqueness of Linear Combinations of Ridge Functions.
Proceedings of the Third International Conference on Natural Computation, 2007

2004
Recent Developments on Convergence of Online Gradient Methods for Neural Network Training.
Proceedings of the Advances in Neural Networks, 2004


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