Principles of Artificial Neural Networks: 3rd Edition (Advanced Series in Circuits & Systems) (Advanced Series in Circuits and Systems)

By Daniel Graupe

Synthetic neural networks are best suited for fixing difficulties which are complicated, ill-defined, hugely nonlinear, of many and diversified variables, and/or stochastic. Such difficulties are considerable in medication, in finance, in defense and past.

This quantity covers the fundamental thought and structure of the key man made neural networks. Uniquely, it provides 18 entire case reports of functions of neural networks in numerous fields, starting from cell-shape class to micro-trading in finance and to constellation acceptance all with their respective resource codes. those case reviews exhibit to the readers intimately how such case reviews are designed and performed and the way their particular effects are got.

The publication is written for a one-semester graduate or senior-level undergraduate direction on synthetic neural networks.

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8711 zero. 0372 zero. 1665 June 25, 2013 15:33 forty four rules of Artificial Neural Networks (3rd Edn) ws-book975x65 ideas of man-made and Neural Networks • Output Layer Weight Matrix: w output = zero. 9749 zero. 0140 zero. 5933 zero. 2826 −0. 7103 zero. 9855 zero. 5541 zero. 8707 −0. 6888 zero. 4141 −0. 3538 zero. 2090 −0. 7103 zero. 9855 zero. 5541 zero. 8707 −0. 6888 zero. 4141 −0. 3538 zero. 2090 earlier than any alterations w output = zero. 9749 zero. 0140 zero. 5933 zero. 2826 z output = zero. 5047 1. 501 y output = 1 1 Weight Modification at Output Layer: • Neuron with Z closest to threshold z index = 1 • Weights sooner than switch: w output min = zero. 9749 zero. 5933 −0. 7103 zero. 5541 −0. 6888 −0. 3538 zero. 0140 zero. 2826 zero. 9855 zero. 8707 zero. 4141 zero. 2090 • Weights after switch: w output min = zero. 2549 1. 3133 zero. 0097 1. 2741 −1. 4088 −0. 3538 zero. 0140 zero. 2826 zero. 9855 zero. 8707 zero. 4141 zero. 2090 • subsequent Output Layer Neuron z ind = 2 ultimate values for Output Layer after Convergence: zero. 2549 1. 3133 zero. 0097 1. 2741 −1. 4088 −0. 3538 −0. 7060 1. 0026 1. 7055 1. 5907 −0. 3059 zero. 2090 z output = 1. 7970 three. 0778 y output = 1 1 w output = ultimate values for Hidden Layer after Convergence: w hidden = Columns 1 via 12 −0. 2630 zero. 2329 zero. 9927 zero. 8494 1. 4906 zero. 5930 1. 3593 zero. 8750 zero. 4218 −0. 0269 zero. 6532 zero. 8525 −1. 6685 −0. 5163 −0. 5627 −0. 1504 zero. 6761 zero. 0423 zero. 6629 zero. 1875 zero. 1533 −0. 1751 −0. 6016 −0. 9714 −0. 4033 zero. 4272 zero. 8406 zero. 6071 zero. 5501 −0. 3400 −0. 8596 −0. 7581 zero. 3686 zero. 7219 −0. 1397 −0. 4833 zero. 5416 −0. 8979 −0. 1973 zero. 6348 −0. 7395 −0. 2944 1. 6366 zero. 6425 zero. 3092 zero. 5427 zero. 0451 1. 1972 −0. 5929 −1. 5854 zero. 0180 zero. 9599 −0. 3352 −0. 0853 zero. 8175 −0. 0605 −0. 7407 zero. 4429 zero. 6812 −0. 7174 −0. 5297 zero. 7511 −0. 6020 −0. 2891 −0. 7897 −0. 3762 −1. 5488 −0. 3460 −0. 6334 zero. 5008 −0. 2205 −0. 5934 June 25, 2013 15:33 rules of Artificial Neural Networks (3rd Edn) ws-book975x65 The Madaline forty five Columns thirteen via 24 1. 2623 zero. 8311 1. 4799 zero. 2762 −0. 2570 −0. 4116 −0. 3409 zero. 5087 zero. 6383 −0. 0592 zero. 9073 zero. 0101 −0. 2520 zero. 2275 zero. 1467 zero. 3491 zero. 6257 1. 6910 zero. 5158 zero. 1007 −0. 2432 −0. 1404 −0. 7061 −0. 8046 zero. 2103 zero. 2320 zero. 5487 −1. 4968 zero. 6436 −0. 0342 −0. 7515 −0. 7608 −0. 2051 zero. 9051 −0. 6792 zero. 4301 −0. 5696 −0. 7650 −0. 3104 zero. 5042 −0. 1148 −0. 3884 1. 2018 −1. 4992 zero. 9080 −0. 6752 zero. 6320 −0. 2957 −0. 8571 zero. 0047 −1. 0030 −0. 3003 zero. 2439 −0. 8767 zero. 4824 −0. 3426 zero. 2404 −0. 7850 −0. 1500 −0. 2993 −0. 8040 zero. 5050 zero. 1335 zero. 1340 −0. 0983 zero. 2333 −0. 3749 zero. 0545 zero. 5916 −0. 7896 zero. 6390 zero. 4778 Columns 25 via 36 zero. 8916 zero. 7573 zero. 1269 −0. 4123 −0. 2517 zero. 6046 −0. 9563 −0. 4263 zero. 9827 zero. 0556 −1. 0141 −0. 0979 zero. 1569 −0. 6195 −0. 2652 −0. 8414 −1. 6294 −0. 0292 −0. 0321 −0. 1107 −1. 0814 zero. 0596 −1. 3715 −0. 2802 −0. 2583 −1. 5253 −0. 1338 −0. 4669 zero. 1387 −0. 0657 −0. 6288 −0. 2554 zero. 5135 −0. 5389 −0. 5124 −0. 7017 zero. 6370 −0. 9764 −0. 6817 −0. 6304 zero. 9424 zero. 0069 −0. 5645 zero. 3812 −0. 3181 −0. 4920 zero. 4873 zero. 3931 zero. 6202 −0. 8650 zero. 3017 zero. 7456 zero. 0283 zero. 3789 −1. 4015 −1. 2924 zero. 2375 −0. 2527 −1. 1661 −0. 8979 zero. 2363 −1. 4117 zero. 1262 zero. 6320 −0. 3507 −0. 3482 −0. 1802 zero. 4422 zero. 8711 zero. 0372 zero. 1665 −0. 3385 z hidden = 23. 2709 6. 8902 7. 3169 zero. 6040 22. 8362 −3. 5097 y hidden = 1 1 1 1 1 −1 ultimate Cumulative mistakes counter = 7 education Efficiency eff = eighty two.

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