Funder
National Natural Science Foundation of China
National High-tech R&D Program
Science-Technology Project of the?thirteenth?Five-Year Plan
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Reference29 articles.
1. LeCun Y, Bottou L, Orr GB, Müller K-R (2002) Efficient backprop. Neural Netw Tricks Trade 1524:9–50
2. Bahrampour S, Ramakrishnan N, Schott L, Shah M (2016) Comparative study of caffe, neon, theano, and torch for deep learning. Comput Sci.
https://arxiv.org/abs/1511.06435
3. Shen B, Wang Z, Qiao H (2017) Event-triggered state estimation for discrete-time multidelayed neural networks with stochastic parameters and incomplete measurements. IEEE Trans Neural Netw Learn Syst 28(5):1152–1163
4. Liu H, Wang Z, Shen B, Liu X (2017) Event-triggered h∞ state estimation for delayed stochastic memristive neural networks with missing measurements: the discrete time case. IEEE Trans Neural Netw Learn Syst 29(8):3726–3737
5. Heideman MT, Johnson DH, Burrus CS (1985) Gauss and the history of the fast fourier transform. Arch Hist Exact Sci 34(3):265–277
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