DEEP NEURAL NETWORKS

... agents, one needs to build models with deep architectures One class of such models is the class of deep neural networks Until recently, the idea to train deep neural networks had not shown much success ... introduce a type of neural networks that has the potential for learning multiple layers of features by itself 7.1 Feedforward neural networks Currently, the most commo...

Ngày tải lên: 30/09/2015, 09:22

Ngày tải lên: 03/09/2012, 15:54

... robot quan sát Điều kiện quan trọng việc sử dụng Neural Networks phải biết mối liên hệ ngõ vào ngõ biết trước Mối quan hệ kéo theo nhiều thứ đònh phải tồn Tổng quát, ta sử dụng mạng Neural Networks ... hợp Trong Neural Networks, ta chọn loại bỏ nhiền biến Neural Networks xác đònh thực nghiệm Lê Thanh Nhật-Trương Ánh Thu 88 GVHD : Ths Hoàng Đình Chiến Phần 3_Chương : Tổ...

Ngày tải lên: 03/09/2012, 15:54

Ngày tải lên: 03/09/2012, 15:55

... Ứng dụng cân dùng Neural Networks triệt nhiễu giao thoa ký tự hệ thống GSM [16] Edwin Johnes, Digital Transmision, ISBN 0-07-707810-1 ... Using PC-DSP, ISBN 0-13-079542-9 [18] Bart Kosko, Neural Networks for Signal processing, ISBN 0-13-614694-5 [19] Tarun Khanna, Foundations of Neural Networks, ISBN 0-201-50036-1 [20] Matlab_The language ... McCord Nelson_W....

Ngày tải lên: 03/09/2012, 15:55

Ngày tải lên: 03/09/2012, 15:59

... Chapter 26- Neural Networks (and more!) 461 x1 x2 FIGURE 26-6 Neural network active node This is a flow diagram of the active nodes used in the hidden and output layers of the neural network ... elevation After to the east, and Chapter 26- Neural Networks (and more!) 471 350 300 250 Error FIGURE 26-9 Neural network convergence This graph shows how the neural netwo...

Ngày tải lên: 13/09/2012, 09:50

... involved gathering the data for use in training and testing the neural network A large training data reduces the risk of under-sampling the nonlinear function, but increases the training time ... learn the database, and to predict the properties of consolidation SELECTION OF STRAIN RATE r= V − Vmin Vmax − Vmin Data Collection Data Normalization Parametric Studies...

Ngày tải lên: 22/03/2013, 15:01

... ^ x0 ¼ E½x0 Š; 1:2 9Þ 10 KALMAN FILTERS Table 1.1 Summary of the Kalman filter State-space model xkþ1 ¼ Fkþ1;k xk þ wk ; yk ¼ Hk xk þ vk ; where wk and vk are independent, zero-mean, Gaussian ... system described by the state-space model xkþ1 ¼ fðk; xk Þ þ wk ; 1:5 2Þ yk ¼ hðk; xk Þ þ vk ; 1:5 3Þ 18 KALMAN FILTERS where, as before, wk and vk are independent zero-mean white Gaussi...

Ngày tải lên: 13/12/2013, 13:15

... extended Kalman filtering,’’ in Proceedings of the World Congress on Neural Networks, Washington DC, 1995 pp I-764–I-769 [18] P Sun and K Marko, ‘‘The square root Kalman filter training of recurrent neural ... Saad, D.V Prokhorov, and D.C Wunsch III, ‘‘Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks, ’’ IEEE Transaction...

Ngày tải lên: 14/12/2013, 13:15

...  circle moving right and up; square moving right and down; triangle moving right and up; circle moving right and down; square moving right and up; triangle moving right and down Training was ... Cortex, 1, 1–47 (1991) [2] J.S Lund, Q Wu and J.B Levitt, ‘‘Visual cortex cell types and connections’’, in M.A Arbib, Ed., Handbook of Brain Theory and Neural Networks, Cambridge...

Ngày tải lên: 14/12/2013, 13:15

... selected similar to the noise-free case, and two distinct networks were trained using the noisy Lorenz signals with 25 dB SNR and 10 dB SNR, respectively The networks were trained with a learning ... in D.A Rand and L.S Young, Eds Dynamical Systems and Turbulence, Warwick 1980, Lecture Notes in Mathematics Vol 898 1981, p 230 Berlin: Springer-Verlag [6] A.M Fraser, ‘‘Information...

Ngày tải lên: 14/12/2013, 13:15

... Atlas, ‘‘Recurrent neural networks and robust time series prediction,’’ IEEE Transactions on Neural Networks, 5(2), 240–254 (1994) [15] S.C Stubberud and M Owen, ‘‘Artificial neural network feedback ... Puskorius and L.A Feldkamp, ‘ Neural control of nonlinear dynamic systems with Kalman filter trained recurrent networks, ’’ IEEE Transactions on Neural Networks, (1994) [32...

Ngày tải lên: 14/12/2013, 13:15