Fetching the paper…
Reading the bibliography…
Neural networks have been widely used to solve complex real-world problems.
K. J. Hunt, D. Sbarbaro, R. Żbikowski, and P. J. Gawthrop, “Neural networks for control systems: a survey,” Automatica
1992
Earlier work this paper cites.
S. Lawrence, C. L. Giles, A. C. Tsoi, and A. D. Back, “Face recognition: A convolutional neural-network approach,” IEEE Transactions on Neural Networks
1997
Earlier work this paper cites.
S. S. Ge, C. C. Hang, and T. Zhang, “Adaptive neural network control of nonlinear systems by state and output feedback,” IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
1999
Earlier work this paper cites.
K. Jarrett, K. Kavukcuoglu, Y. LeCun, et al
2009
Earlier work this paper cites.
L. Pulina and A. Tacchella, “An abstraction-refinement approach to verification of artificial neural networks,” in International Conference on Computer Aided Verification
2010
Earlier work this paper cites.
V. Nair and G. E. Hinton, “Rectified linear units improve restricted boltzmann machines,” in Proceedings of the 27th international conference on machine learning (ICML-10)
2010
Earlier work this paper cites.
X. Glorot, A. Bordes, and Y. Bengio, “Deep sparse rectifier neural networks,” in Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics
2011
Earlier work this paper cites.
L. Pulina and A. Tacchella, “Challenging SMT
2012
Earlier work this paper cites.
2013
Cited alongside, same era.
A. L. Maas, A. Y. Hannun, and A. Y. Ng, “Rectifier nonlinearities improve neural network acoustic models,” in Proc. ICML
2013
Cited alongside, same era.
2013
Cited alongside, same era.
Z.-G. Wu, P. Shi, H. Su, and J. Chu, “Exponential stabilization for sampled-data neural-network-based control systems,” IEEE Transactions on Neural Networks and Learning Systems
2014
Cited alongside, same era.
Z. Zuo, Z. Wang, Y. Chen, and Y. Wang, “A non-ellipsoidal reachable set estimation for uncertain neural networks with time-varying delay,” Communications in Nonlinear Science and Numerical Simulation
D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre, G. Van Den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, et al
2016
Later among the works it cites.
2016
Later among the works it cites.
2016
Later among the works it cites.
Z. Xu, H. Su, P. Shi, R. Lu, and Z.-G. Wu, “Reachable set estimation for M
2016
Later among the works it cites.
M. V. Thuan, H. M. Tran, and H. Trinh, “Reachable sets bounding for generalized neural networks with interval time-varying delay and bounded disturbances,” Neural Computing and Applications
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2014
Cited alongside, same era.
J. Schmidhuber, “Deep learning in neural networks: An overview,” Neural Networks
2015
Cited alongside, same era.
T. Wang, H. Gao, and J. Qiu, “A combined adaptive neural network and nonlinear model predictive control for multirate networked industrial process control,” IEEE Transactions on Neural Networks and Learning Systems
2016
Cited alongside, same era.
W. He, Y. Chen, and Z. Yin, “Adaptive neural network control of an uncertain robot with full-state constraints,” IEEE Transactions on Cybernetics
2016
Cited alongside, same era.
2016
Later among the works it cites.
C. Sun, W. He, W. Ge, and C. Chang, “Adaptive neural network control of biped robots,” IEEE Transactions on Systems, Man, and Cybernetics: Systems
2017
Closest in time.