Wind Power Resource Estimation with Deep Neural Networks
暂无分享,去创建一个
[1] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[2] James Martens,et al. Deep learning via Hessian-free optimization , 2010, ICML.
[3] Tom Howard,et al. Correction and downscaling of NWP wind speed forecasts , 2007 .
[4] James F. Manwell,et al. Comparison of the performance of four measure–correlate–predict algorithms , 2005 .
[5] Volodymyr Mnih,et al. CUDAMat: a CUDA-based matrix class for Python , 2009 .
[6] Geoffrey E. Hinton,et al. Training Recurrent Neural Networks , 2013 .
[7] S. Schubert,et al. MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications , 2011 .
[8] Frank Sehnke,et al. Multimodal Parameter-exploring Policy Gradients , 2010, 2010 Ninth International Conference on Machine Learning and Applications.
[9] Martin A. Riedmiller,et al. A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.
[10] A. Ng. Feature selection, L1 vs. L2 regularization, and rotational invariance , 2004, Twenty-first international conference on Machine learning - ICML '04.
[11] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[12] Frank Sehnke,et al. Parameter-exploring policy gradients , 2010, Neural Networks.
[13] Geoffrey E. Hinton,et al. Restricted Boltzmann machines for collaborative filtering , 2007, ICML '07.