Artificial Neural Networks Industrial and Control Engineering Applications Part 4 pot
... Spectrochimica Acta Part B, Vol. 64, No. 7, (July 2009) pp. 685-689, ISSN: 05 848 547 Artificial Neural Networks - Industrial and Control Engineering Applications 108 Fig. 14. Screenshots ... same elemental Artificial Neural Networks - Industrial and Control Engineering Applications 102 0 0.1 0.2 0.3 0 .4 0.5 0.6 0.7 0.8 0.9 1 andesite A...
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... Pennsylvania 49 8 13.58-33.10 Tennessee 42 24. 61-33 .48 Texas 33 9. 54- 27. 74 Utah 103 4. 82-30. 14 Virginia 368 19 .49 - 34. 80 Washington 10 13. 14- 27 .45 West Virginia 340 14. 29- 34. 75 Wyoming 335 6.27- 34. 23 ... Artificial Neural Networks - Industrial and Control Engineering Applications 182 Karacan, C.O. (2007). Development and application of rese...
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... spinning ends- down and neps Artificial Neural Networks - Industrial and Control Engineering Applications 4 2. Applications to fibres and yarns 2.1 Fibre classification Kang and Kim (2002) ... different Artificial Neural Networks - Industrial and Control Engineering Applications 12 3.5 Seam performance Hui and Ng (2009) investigated the...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 2 doc
... types of data are available Artificial Neural Networks - Industrial and Control Engineering Applications 44 Semnani & Vadood, 2009 applied the artificial neural network (ANN) to predict ... feature index, and finally assessing pilling grade by Kohonen self Artificial Neural Networks - Industrial and Control Engineering Applications 42 orga...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 3 doc
... 43 .863 2.028 3.056 2.871 14 42 .45 44 . 244 43 .780 43 .863 4. 227 3.133 3.329 15 44 .09 44 . 244 43 .780 43 .863 0.350 0.7 04 0.5 14 16 54. 92 54. 807 54. 930 54. 951 0.205 0.019 0.056 17 54. 97 54. 896 54. 9 54 ... 50.2 24 4.001 0.2 34 0.031 10 50.06 50.703 50 .41 1 50.078 1.285 0.701 0.037 11 44 .91 45 .650 44 .035 44 .912 1. 648 1. 949 0.0 04 12 43 .75 43 ....
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Artificial Neural Networks Industrial and Control Engineering Applications Part 5 pdf
... 142 0 40 13.70 10 04 10.38 3 142 0 60 13 .43 1010 10 .40 4 142 0 80 14. 14 8 04 9.55 5 143 0 20 13.71 996 10. 34 6 143 0 40 13.71 1005 10.38 7 143 0 80 14. 02 858 8.06 8 144 0 20 13.62 818 9.80 9 144 0 ... 8 144 0 20 12.82 6 24 9.92 9 144 0 60 13.78 1010 10.26 10 144 0 80 13.31 1035 10. 54 11 146 0 20 12.83 857 8 .42 12 146 0 40 12 .42 870 9.77 13 146 0 80 13.86 597 8.2...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 7 pptx
... by microbial phenotypes and artificial neural networks. Appl. Environ. Microbiol., 65, pp. 44 84 44 89 Lou, W., & Nakai, S. (2001). Application of artificial neural networks for predicting ... 1.875 108 0.9503 80 1.750 108 0. 548 9 80 1.750 144 0.9 741 75 1.875 120 0. 548 3 75 2.259 120 0.9027 70 2.000 136 0 .43 15 60 2.000 136 0.8836 65 2.250 144 0 .48 32 Table 4....
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Artificial Neural Networks Industrial and Control Engineering Applications Part 8 pptx
... infrared. Table 4. Other applications of ANN in meat science and technology Artificial Neural Networks - Industrial and Control Engineering Applications 260 smoothen the response and cancel ... of Animal Science, 72, 6, 142 5- 143 2, ISSN: 0021-8812 Artificial Neural Networks - Industrial and Control Engineering Applications 248 It adopts...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 9 pptx
... 2 33. 742 0.17 641 0.07029 0.0 744 79 0.0 844 84 0.26015 0. 546 08 0.17 642 0.0703 04 0.0 744 88 0.0 844 69 0.26018 0. 546 09 3 34. 936 0.001 148 1 0.0 242 9 -0.001 84 -0.0 048 7 -0.12908 0.08572 0.0011802 0.0 242 95 ... 0. 544 36 0 .46 0.2 346 1 0. 240 55 0.2 541 5 1.780 0. 544 57 0 .46 035 0.2 347 6 0. 240 7 0.2 544 1 1.780 79 31.036 0.37995 0 .40 042 0.15918 0.153 74 0.17367 1.528 0...
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Artificial Neural Networks Industrial and Control Engineering Applications Part 10 doc
... 0. 142 44 0.1 340 2 84 29 .44 5 -0.50926 -0.19681 -0.2 144 9 -0. 243 84 -0.1796 -0. 547 7 -0.5092 -0.19685 -0.2 145 -0. 243 84 -0.1796 -0. 547 6 86 30. 24 -0.50221 -0. 145 19 -0.216 64 -0.25197 -0.15772 -0. 345 37 ... -0. 345 37 -0.5023 -0. 145 1 -0.21667 -0.252 04 -0.15773 -0. 345 3 88 30. 24 -1.130 -0.67583 -0 .44 43 -0 .47 638 -0 .42 418 -1.861 -1.130 -0.6758 -0 .44 431 -0 .47...
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