Computational Intelligence in Automotive Applications Episode 2 Part 4 pptx

Computational Intelligence in Automotive Applications Episode 2 Part 1 docx

Computational Intelligence in Automotive Applications Episode 2 Part 1 docx

... Control 44 : 22 00 22 05. 12. Dovifaaz X, Ouladsine M, Rachid A (1999) Optimal control of a turbocharged diesel engine using neural network. In: 14th IFAC World Congress, IFAC-8b-009, Beijing, China, ... control applications [10, 24 , 32, 42 ] and the accomplishment of this task isdescribedinSect.6.1. 6.1 Training and Test Data The training and test sets were generated by running the e...

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Computational Intelligence in Automotive Applications Episode 2 Part 5 pdf

Computational Intelligence in Automotive Applications Episode 2 Part 5 pdf

... 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) www.springerlink.com c  Springer-Verlag ... cold welds in the fuzzy control scheme test (31 /21 6 = 14. 4%) was less than the number of cold welds in the stepper mode (44 /21 6 = 20 .4% ). 4 .2 Int...

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Computational Intelligence in Automotive Applications Episode 1 Part 4 doc

Computational Intelligence in Automotive Applications Episode 1 Part 4 doc

... performance. In Proceedings of NIPS, pp. 196 20 2, 20 00. 4. L. Breiman. Bagging predictors. Machine Learning, 24 (2) : 123 – 140 , 1996. 5. L. Breiman. Random forests. Machine Learning, 45 (1):5– 32, 20 01. 6. ... an index of workload. In Proceedings of the IEA/HFES 20 00 Congress, pp. 125 – 128 , 20 00. 2. E.R. Boer. Behavioral entropy as a measure of driving performance. In...

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