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)...

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... 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...

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... 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....

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... 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...

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... 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...

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... 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...

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... = (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...

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... 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