neural networks algorithms applications and programming techniques phần 2 pptx
neural networks algorithms applications and programming techniques phần 2 pptx
... Squaring and taking expectation values of both sides of Eq. (2. 16) gives (e 2 ) = (s 2 } + {(n' - y) 2 } + 2( s(ri - y)} (2. 17) = {s 2 } + {(n' - y) 2 ) (2. 18) Equation (2. 18) ... at w*, and set the result equal to zero: = 2Rw - 2p 2Rw* - 2p = 0 Rw* = p w* = R-'p (2. 6) (2. 7) (2. 8) Notice that, although £ is a scalar, ^|^ is...
Ngày tải lên: 12/08/2014, 21:21
neural networks algorithms applications and programming techniques phần 9 pptx
... is / 2. 063 7 .22 0 0.000 5.157 4. 126 \ 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 2. 236 \ 2. 236 2. 236 2. 236 2. 236 2. 236 ... gives w = (2. 863,10. 020 ,0.400,7.160,5. 726 )' x = (0 .20 6,0. 722 ,0. 028 8,0.515,0.4 12) * v = (2. 269,7.9 42, 0.000,5.6 72, 4.538)&...
Ngày tải lên: 12/08/2014, 21:21
neural networks algorithms applications and programming techniques phần 1 ppt
... Processing 26 5 7 .2 Applications of Self-Organizing Maps 27 4 7.3 Simulating the SOM 27 9 Bibliography 28 9 Chapter 8 Adaptive Resonance Theory 29 7 8.1 ART Network Description 29 3 8 .2 ART1 29 8 8.3 ART2 ... Network 27 3 6.7 CPN Building Blocks 21 5 6 .2 CPN Data Processing 23 5 6.3 An Image-Classification Example 24 4 6.4 the CPN Simulator 24 7 Bibliography 26 2 Chapte...
Ngày tải lên: 12/08/2014, 21:21
neural networks algorithms applications and programming techniques phần 3 docx
... 2nd column w w w w 12 13 14 15 " ;22 ^23 ^24 W 25 W 32 ^33 ^34 ^35 ^ 42 W 43 W 44 W 45 W 52 W 53 W 54 W 55 Weight matrix: 2nd row, left column W W W W 51 52 53 45 5J W W W W 22 ... W 22 23 24 25 w 12 W 13 W 35 W 22 W 23 W 24 W 32 W 33 W 34 W 45 W 42 W 43 W 52 W 53 W 44 W 32 WWW 33 34 35 W W 42 43 W W A , 44 45 Weight matrix: 5th row, 5th...
Ngày tải lên: 12/08/2014, 21:21
neural networks algorithms applications and programming techniques phần 4 ppt
... Let x 2 be the input vector. Then, from Eq. (4.5), y 2 x 2 = yix*x 2 L2 2 Such a set is defined by the relationship, \l\j = Sij, where f>ij = 1 if i = j, and 6ij = 0 if 124 Backpropagation your ... elements are the n 2 by n 2 quantities, TXI.YJ, where X and Y refer to the cities, and i and j refer to the positions on the tour. The first term of the...
Ngày tải lên: 12/08/2014, 21:21
neural networks algorithms applications and programming techniques phần 5 pdf
... Hopfield and David W. Tank. Computing with neural circuits: A model. Science, 23 3: 625 -633, August 1986. [8] Bart Kosko. Adaptive bidirectional associative memories. Applied Optics, 26 (23 ):4947-4960, ... and Xk is the output of the fcth unit. The energy difference between the system with x^ = 0 and x^ — 1 is given by fe = (E Xk=0 - (5 .22 ) Notice that the summa...
Ngày tải lên: 12/08/2014, 21:21
neural networks algorithms applications and programming techniques phần 6 potx
... pages 29 - 125 , 1963. [8] Harold Szu. Fast simulated annealing. In John S. Denker, editor, Neural Networks for Computing. American Institute of Physics, New York, pages 420 - 425 , 1986. 22 2 The Counterpropagation ... Press, Cambridge, MA, pages 28 2-317, 1986. [4] Geoffrey E. Hinton. Learning in parallel networks. Byte, 10(4) :26 5 -27 3, April 1985. [5] S. Kirkpatrick, Jr., C. D...
Ngày tải lên: 12/08/2014, 21:21
neural networks algorithms applications and programming techniques phần 7 pot
... represented by \i, and w 2 to learn x 2 . (b) Initial training with \i has brought Wi closer to x 2 than w 2 is. Thus, W| will win for either X] or x 2 , and w 2 will never win. single ... (1 024 for the image and 2 for the training inputs), 12 hidden units, and 2 output units. The units on the middle layer learn to divide the input vectors into differ...
Ngày tải lên: 12/08/2014, 21:21
neural networks algorithms applications and programming techniques phần 8 ppsx
... 0.756 0.756 0.756 0.756 For F 2 , 00010 00001 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 If we return to the superset ... looks like 00010 0 0 0.75 0 0.75 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 329 0. 3...
Ngày tải lên: 12/08/2014, 21:21
neural networks algorithms applications and programming techniques phần 10 potx
... 337 competition, 22 6, 24 7 between instars, 22 5 winner-take-all, 1 52, 22 7, 23 5 competitive instars, 23 2 layer, 23 6, 23 7, 23 8, 24 9, 29 5 network, 21 3, 21 5, 22 4 units, 26 4 connection, 4, 32 excitatory, ... lateral, 1 52, 27 9, 390, 391, 3 92 inner product, 21 , 32 input layer, 21 5, 21 6 potentials, 10 value, 19, 32 vectors, 21 instar, 21 5, 21 8, 22...
Ngày tải lên: 12/08/2014, 21:21