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Feedforward neural networks

A credit risk assessment model of borrowers in P2P lending based on BP neural network

Zhengwei Ma, Wenjia Hou, Dan Zhang

Early warning model for passenger disturbance due to flight delays

Yunyan Gu, Jianhua Yang, Conghui Wang, Guo Xie

Classification of multicategory edible fungi based on the infrared spectra of caps and stalks

Rui Gao, Cheng Chen, [ ... ], Xiaoyi Lv

Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off

Javier León, Juan José Escobar, [ ... ], Miguel Damas

Calculation of the contribution rate of China’s hydraulic science and technology based on a feedforward neural network

Rongrong Xu, Yongxiang Wu, [ ... ], Yuedong Xia

Machine learning to predict microbial community functions: An analysis of dissolved organic carbon from litter decomposition

Jaron Thompson, Renee Johansen, John Dunbar, Brian Munsky

Hypercomplex extreme learning machine with its application in multispectral palmprint recognition

Longbin Lu, Xinman Zhang, Xuebin Xu

Directional dependence between major cities in China based on copula regression on air pollution measurements

Jong-Min Kim, Namgil Lee, Xingyao Xiao

Ship roll motion prediction based on ℓ₁ regularized extreme learning machine

Binglei Guan, Wei Yang, Zhibin Wang, Yinggan Tang

Fallback Variable History NNLMs: Efficient NNLMs by precomputation and stochastic training

Francisco J. Zamora-Martínez, Salvador España-Boquera, Maria Jose Castro-Bleda, Adrian Palacios-Corella

Neural network models of the tactile system develop first-order units with spatially complex receptive fields

Charlie W. Zhao, Mark J. Daley, J. Andrew Pruszynski

Predicting human protein function with multi-task deep neural networks

Rui Fa, Domenico Cozzetto, Cen Wan, David T. Jones

Using Bayesian dynamical systems, model averaging and neural networks to determine interactions between socio-economic indicators

Björn R. H. Blomqvist, Richard P. Mann, David J. T. Sumpter

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