Artificial Neural Networks Industrial and Control Engineering Applications Part 1 pdf

... 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) ... because of the ARTIFICIAL NEURAL NETWORKS ͳ INDUSTRIAL AND CONTROL ENGINEERING APPLICATIONS Edited by Kenji Suzuki Review of Application of Artific...

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... 558 11 .73 8 80 9 11 10 .23 599 11 . 51 9 80 11 9 10 .24 617 11 .10 10 80 12 8 10 .22 614 10 .53 11 80 13 7 10 .25 585 9.54 12 80 14 6 10 .10 5 41 8.49 13 75 11 14 10 .25 595 11 .85 14 75 12 13 ... toughness (MPa·m 1/ 2 ) 1 1420 20 14 .25 10 42 10 .39 2 14 20 40 14 .27 10 35 10 . 51 3 14 20 60 13 .36 10 52 10 .59 4 14 20 80 14 .28 10 5...

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... () ( ) 11 , tt tuy ϕϕ −− = (4) Artificial Neural Networks - Industrial and Control Engineering Applications 390 are illustrated in Figs. 11 and 12 respectively. It can be seen from Fig. 12 that ... 1] Table 2. Control input variables. 11 11 11 11 11 00 00000 000 000 000 000 0 010 0 00000 0 010 0000 0000 0 00 000 000 00000 00 0000 0 010 00 0000 0 10 0 u...

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... faulty modes. Artificial Neural Networks - Industrial and Control Engineering Applications 448 Sensor 5 10 15 1 1.5 2 2.5 3 Time (s) Pressure of Y Axis (bar) Norma l Fault1 Fault2 Fault3 Fault4 ... technique has been utilized where Artificial Neural Networks - Industrial and Control Engineering Applications 454 0.5 0.6 0.7 0.8 0.9 1 0 5 10...

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... as artificial neural network (ANN model) by alkali concentration, temperature and time as inputs. Both statistical model Artificial Neural Networks - Industrial and Control Engineering Applications ... types of data are available Artificial Neural Networks - Industrial and Control Engineering Applications 44 Semnani & Vadood, 2009 applied the...

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... 32.802 1. 784 1. 422 0.097 10 31. 52 30.943 31. 0 71 31. 445 1. 830 1. 425 0.237 11 31. 73 31. 4 71 31. 735 31. 374 0. 817 0. 016 1. 122 12 30.99 31. 5 81 31. 029 32. 012 1. 907 0 .12 7 3.297 13 33.25 33 .12 3 33 .16 2 ... 2.296 2. 313 2. 315 00.75 00.80 14 1. 3 91 1.356 1. 348 02. 51 03 .11 2.609 2. 313 2. 315 11 .33 11 .28 15 1. 332 1. 356 1. 348 01. 78 01. 15 2.035...

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... different locations of the 12 3 4 5 6 7 8 910 111 213 1 415 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 basalt dolomite kaolin ilmenite a) b) c) Application of Artificial Neural Networks in the Estimation ... same elemental Artificial Neural Networks - Industrial and Control Engineering Applications 10 2 0 0 .1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 andesite AGV2...

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... b) Artificial Neural Networks - Industrial and Control Engineering Applications 18 6 u H = R 1 i 1 +L 1 (di 1 /dt)+ N 1 (d φ /dt) (1) 0 = R 2 i 2 +L σ2 (di 2 /dt)+ N 2 (d φ /dt)+dip 1 + ... 0.90 32.90 10 .84 5.97 Hydrogen 1. 70 8 .10 5.27 0.69 Carbon 24 .10 89.60 65.72 12 .02 Nitrogen 0.20 2. 41 1.29 0.33 Oxygen 0.90 54.70 14 .86 11 .27 Sulfur 0....

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... Predicted Activity IU/ml 90 1. 875 10 8 0.9503 80 1. 750 10 8 0.5489 80 1. 750 14 4 0.97 41 75 1. 875 12 0 0.5483 75 2.259 12 0 0.9027 70 2.000 13 6 0.4 315 60 2.000 13 6 0.8836 65 2.250 14 4 0.4832 Table 4. ... Predicted Activity IU/ml- 90 2.75 16 8 1. 769 55 2.5 12 0 0.527 65 2.5 15 6 1. 4 91 50 2.25 14 4 0.497 60 2.5 16 8 1. 387 45 2.25 12 0 0.443 55 2.25...

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... 312 -355, ISSN: 08 91- 2 513 Cartwright, H. M. (2008). Artificial neural networks in biology and chemistry. In: Artificial neural networks : methods and applications. Livingstone, D. (Ed.), 1- 13, ... based fuzzy logic control systems [J], IEEE Trans. Fuzzy Syst, 19 94, 2 (1) : 46–63 Artificial Neural Networks - Industrial and Control Engineering Applic...

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