Computational Intelligence in Automotive Applications Episode 2 Part 5 pdf

Computational Intelligence in Automotive Applications Episode 2 Part 5 pdf

Computational Intelligence in Automotive Applications Episode 2 Part 5 pdf

... Welding, Proceedings of 20 06 IEEE World Congress of Computational Intelligence, 20 06 IEEE International Conference on Fuzzy Systems, Vancouver, 157 0– 157 7, 20 06. 16. D. Dickinson, J. Franklin, ... with ∗ Corresponding author, roger.bostelman@nist.gov J. Albus et al.: Intelligent Control of Mobility Systems, Studies in Computational Intelligence (SCI) 1 32, 23 7 27 4 (20 08)...

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Computational Intelligence in Automotive Applications Episode 2 Part 1 docx

Computational Intelligence in Automotive Applications Episode 2 Part 1 docx

... (Case 1) 5 5 .5 6 6 .5 7 7 .5 8 12 13 14 15 16 17 18 19 20 Time [s] measured predicted 5 5 .5 6 6 .5 7 7 .5 8 12 13 14 15 16 17 18 19 20 Time [s] AFR [/] - (Case 2) 5 5 .5 6 6 .5 7 7 .5 8 12 13 14 15 16 17 18 19 20 Time ... 6 .5 7 7 .5 8 12 13 14 15 16 17 18 19 20 Time [s] AFR [/] (Case 3) 5 5 .5 6 6 .5 7 7 .5 8 12 13 14 15 16 17 18 19 20 2...

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Computational Intelligence in Automotive Applications Episode 1 Part 2 pdf

Computational Intelligence in Automotive Applications Episode 1 Part 2 pdf

... F09-F10) 32 70 Pupil-diameter features only (F09-F10) 2 61 Driving-performance features (F01-F08) 8 60 PleaserefertoTable2forthefeatureindices 0 2 4 6 8 10 12 1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 Feature ... 1 /5: (11 .5/ 1 .5, lift 2. 1) F01 > 2. 4 056 F21 <= 0.06 35 -> class High [0.8 12] Rule 1/6: (21 .4/3.8, lift 2. 0) F09 <= 21 .24 43 -&...

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