neural networks algorithms applications and programming techniques phần 5 pdf

... Hopfield and David W. Tank. " ;Neural& quot; computation of decisions in optimization problems. Biological Cybernetics, 52 :141- 152 , 19 85. [7] John J. Hopfield and David W. Tank. Computing with neural ... Annealing and the derivative of the partition function is dE mn _ E I T \ '^T e ) (5. 30) _ j_^ x mn a .mn -£ mn /T y / -• l J m.n Substituting Eqs. (5. 29)...

Ngày tải lên: 12/08/2014, 21:21

... in terms of sequential algorithms. Many problems are not suited to this approach, however, causing us to expend Neural Networks Algorithms, Applications, and Programming Techniques James A. Freeman David ... the BAM 156 Bibliography 167 Chapter 5 Simulated Annealing 769 5. 1 Information Theory and Statistical Mechanics 171 5. 2 The Boltzmann Machine 179 5. 3 The...

Ngày tải lên: 12/08/2014, 21:21

... I: -1 .5- 1.0-0 .5 OiS 1.0 1 ;5 0.3! 0,2! 0.1! -1 .5- 1.0-0 .5 ! -0.1f -0.2J 0.75t 0.5J 0. 25 0 .5 1.0 1 .5 0 .5 1.0 1 .5 -0 .5 -0. 75 0.2 0.1 -1 .5- 1.0-0 .5 -0.1 0 .5 1.0 1 .5 -0.21 Figure 2 .5 The first three ... Processing 47 1.0 0 .5 (a) -0 .5 -1.0 0. 05 0.1 0. 15 0.2 Carrier wave (b) (c) 0. 05 0.1 0. 15 Wave containing information 0. 05 0.1 0. 15 0.2 1.3 1.2 1.1...

Ngày tải lên: 12/08/2014, 21:21

... 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 23 24 25 w 12 W 13 W 35 W 22 ... 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 column ~ W 55 W 45 W 35 W 25 W 15 W 54 W 44...

Ngày tải lên: 12/08/2014, 21:21

... implemen- tations. Suggested Readings Both Chapter 8 of PDF [7] and Chapter 5 of the PDF Handbook [6] contain discussions of backpropagation and of the generalized delta rule. They are good supplements ... April 19 85. [9] Terrence J. Sejnowski and Charles R. Rosenberg. Parallel networks that learn to pronounce English text. Complex Systems, 1:1 45- 168, 1987. [10] Philip D....

Ngày tải lên: 12/08/2014, 21:21

... Learning in parallel networks. Byte, 10(4):2 65- 273, April 19 85. [5] S. Kirkpatrick, Jr., C. D. Gelatt, and M. P. Vecchi. Optimization by sim- ulated annealing. In James A. Anderson and Edward Rosenfeld, ... Pattern Analysis and Machine Intelligence PAMI-6: 721-741, 1984. [3] G. E. Hinton and T. J. Sejnowski. Learning and relearning in Boltzmann machines. In David E. Rumel...

Ngày tải lên: 12/08/2014, 21:21

... television monitor, and robot all interface to a desktop computer that simulates the neural network and houses a video frame-grabber board. The architecture is an example of how a neural network can ... the time required to construct and train a neural network may be significantly less than the time required for development of algorithms that perform the identical tasks. 256 Th...

Ngày tải lên: 12/08/2014, 21:21

... for F\ units is 0 0. 756 0. 756 0. 756 0. 756 0. 756 0 0. 756 0. 756 0. 756 0. 756 0. 756 0 0. 756 0. 756 0. 756 0. 756 0. 756 1 0. 756 0. 756 0. 756 0. 756 0. 756 0 0. 756 0. 756 0. 756 0. 756 0. 756 That completes the ... appear as follows. For F\, 0 0 0. 756 0. 756 0. 756 0. 756 0 0 0. 756 0. 756 0. 756 0. 756 0 0 0. 756 0. 756 0. 756 0. 756 1 0 0. 756 0. 756 0. 756 0. 756 0 1...

Ngày tải lên: 12/08/2014, 21:21

... = (0.206,0.722,0,0 .51 6,0.413)'. Propagating this vector forward to F 2 yields a vector of activities across the F 2 units of T = (4. 151 ,4. 151 ,4. 151 ,4. 151 ,4. 151 ,4. 151 )' Because all ... however, as both u, and q are now nonzero. Beginning again at w, we find: w = (2.263,7.920,0.100 ,5. 657 ,4 .52 6)' x = (0.206,0.722,0.009,0 .51 6,0.413)* v = (2.269,7.942...

Ngày tải lên: 12/08/2014, 21:21

... 48 bandstop, 50 frequency response of, 50 highpass, 50 lowpass, 50 , 68 transverse, 66 floating-point hardware, 31 operations, 31 forgetfulness, 221 formal avalanche, 342, 344, 3 45 FORTRAN, 158 Fourier analysis, ... 137 bias. term, 56 , 65, 104, 124 weight, 65, 94 bidirectional associative memory (BAM), 127-168, 169, 190, 258 , 327 autoassociative, 140, 142 data structures, 158...

Ngày tải lên: 12/08/2014, 21:21