2GRAHAM-ROWE D, GOLDSTON D, DOCTOROW C, et al. Big data: Science in the petabyte era[J]. Nature, 2008, 455(7209): 8-9.
3HINTON G E, SALAKHUTDINOV R R. Reducing the dimensionality of data with neural networks[J]. Science, 2006, 313(5786): 504-507.
4KRIZHEVSKY A, SUTSKEVER I, HINTON G E. Imagenet classification with deep convolutional neural networks[C]//Advances in Neural Information Processing Systems, 2012: 1097-1105.
5BALDI P, SADOWSKI P, WHITESON D. Searching for exotic particles in high-energy physics with deep learning[J]. Nature Communications, 2014, 5(1): 1-9.
6WORDEN K, STASZEWSKI W J, HENSMAN J J. Natural computing for mechanical systems research: A tutorial overview[J]. Mechanical Systems and Signal Processing, 2011, 25(1): 4-111.
7BENGIO Y. Learning Foundations and Trends 2(1): 1-127. deep architectures for AI[J] in Machine Learning, 2009,.
8ERHAN D, BENGIO Y, COURVILLE A, et al. Why does unsupervised pre-training help deep learning?[J]. The Journal of Machine Learning Research, 2010, 11: 625-660.
9VINCENT P, LAROCHELLE H, BENGIO Y, et al. Extracting and composing robust features with denoising autoencoders[C]//Proceedings of the 25th International Conference on Machine Learning, ACM, 2008: 1096-1103.
10JARDINE A K S, LIN D, BANJEVIC D. A review on machinery diagnostics and prognostics implementingcondition-based maintenance[J]. Mechanical Systems and Signal Processing, 2006, 20(7): 1483-1510.