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ORCIDNeural Networks, Volume 111
Volume 111, March 2019
- Taeyong Kim
, Oh-Sung Kwon, Junho Song:
Response prediction of nonlinear hysteretic systems by deep neural networks. 1-10 - Manuel Fernández Delgado, Manisha Sanjay Sirsat, Eva Cernadas, Sadi Alawadi, Senén Barro, Manuel Febrero-Bande:
An extensive experimental survey of regression methods. 11-34
- Ruifeng Zhu, Fadi Dornaika, Yassine Ruichek:
Learning a discriminant graph-based embedding with feature selection for image categorization. 35-46 - Amirhossein Tavanaei, Masoud Ghodrati, Saeed Reza Kheradpisheh, Timothée Masquelier, Anthony Maida:
Deep learning in spiking neural networks. 47-63 - Wei Zeng, Chengzhi Yuan, Qinghui Wang, Fenglin Liu, Ying Wang:
Classification of gait patterns between patients with Parkinson's disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks. 64-76 - Yuanbo Xu, Yongjian Yang, Jiayu Han, En Wang, Fuzhen Zhuang, Jingyuan Yang, Hui Xiong:
NeuO: Exploiting the sentimental bias between ratings and reviews with neural networks. 77-88
- Sadegh Karimpouli, Pejman Tahmasebi:
Image-based velocity estimation of rock using Convolutional Neural Networks. 89-97
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