[1] Y. LeCun and Y. Bengio, “Hinton G (2015) Deep Learning,” Nature, Vol. 521, No. 7553, pp. 436-444, 2015 [2] G. E. Hinton, S. Osindero,Y. W. The, “A Fast Learning Algorithm for Deep Belief Nets,” Neural Computation, Vol. 18, No. 7, pp. 1527-1554, 2006 [3] C. Sammut and G. I. Webb, “Encyclopedia of Machine Learning and Data Mining,” Journal of Shijiazhuang Vocational Technology Institute, Vol. 2, No. 2, pp. 110-114, 2016 [4] P. Sermanet, K. Kavukcuoglu,Y. LeCun, “Traffic Signs and Pedestrians Vision with Multi-Scale Convolutional Networks,” in Proceedings of Snowbird Machine Learning Workshop, Vol. 2, No. 3, pp. 8, 2011 [5] T. Kuremoto, S. Kimura, K. Kobayashi, et al., “Time Series Forecasting Using a Deep Belief Network with Restricted Boltzmann Machines,” Neurocomputing, Vol. 137, No. 15, pp. 47-56, 2014 [6] V. Mnih and G. E. Hinton, “Learning to Detect Roads in High-Resolution Aerial Images,” Computer Vision-ECCV 2010, Springer Berlin Heidelberg, pp. 210-223, 2010 [7] W. Q. Sun, W. Z. Zhao, W. J. Niu, et al., “A DBN-based Classifying Approach to Discover the Internet Water Army,”Ifip Advances in Information & Communication Technology, No. 432, pp. 78-89, 2014 [8] Q. Lu, Y. Dou,X. Niu, “Remote Sensing Image Classification based on DBN Model,” Journal of Computer Research and Development, Vol. 51, No. 9, pp. 1911-1918, 2014 [9] P. Qin, M. Li, Q. G. Miao, et al., “Research of the DBN Algorithm based on Multi-Innovation Theory and Application of Social Computing,” Social Computing, Springer Singapore, pp. 577-590, 2016 [10] J. F. Qiao, G. Y. Pan,H. G. Han, “A Regularization-Reinforced DBN for Digital Recognition,”Natural Computing, No. 1, pp. 1-13, 2017 [11] F. R. Shen, J. Chao,J. X. Zhao, “Forecasting Exchange Rate Using Deep Belief Networks and Conjugate Gradient Method,” Neurocomputing, Vol. 167, No. C, pp. 243-253, 2015 [12] X. Li and G. Wang, “Optimal Band Selection for Hyperspectral Data with Improved Differential Evolution,” Journal of Ambient Intelligence and Humanized Computing, Vol. 6, No. 5, pp. 675-688, 2015 [13] X. Li and L. L. Wang, “On the Study of Fusion Techniques for Bad Geological Remote Sensing Image,” Journal of Ambient Intelligence and Humanized Computing, Vol. 6, No. 1, pp. 141-149, 2015 [14] Q. Q. Wang, X. Li,L. L. Wang, “Research and Analysis Method based on the Classification on the Bad Geological Identification,” Geological Science and Technology Information, Vol. 33, No. 6, pp. 203-208, 2014 [15] H. Oesterreicher and K. Oesterreicher, “Compounds with RMB{4} Stoichiometry (M = Cr, Mn, Fe, Co, Ru, Os),” Compounds of Rare Earth Elements with Main Group Elements, Part 2, Springer Berlin Heidelberg, pp. 126-127, 1989 [16] J. Zheng, X. Fu,G. Zhang, “Research on Exchange Rate Forecasting based on Deep Belief Network,”Neural Computing & Applications, No. 4, pp. 1-10, 2017 |