Intelligent Control Systems with LabVIEW 9 pdf

Intelligent Control Systems with LabVIEW 9 pdf

Intelligent Control Systems with LabVIEW 9 pdf

... E83-A(12):2584–2 591 3. Bailey RN, Garner KM, Hobbs MF ( 199 7) Using simulated annealing and genetic algorithms to solve staff-scheduling problems. Asia Pacific J Oper Res Nov 1 ( 199 7) 4. Baker JA, ... Number X data Number X data 1 255 66411581680 2 67 7 64 12 96 17 80 3 67 8 71 13 96 18 71 4 74 9 71 14 87 19 71 5 74105815872062 Fig. 6 .9 Block diagram of the initialization process F...

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Intelligent Control Systems with LabVIEW 6 pdf

Intelligent Control Systems with LabVIEW 6 pdf

... Fig. 4. 19. 4.2 The Neuro-fuzzy Controller 95 Fig. 4.5a,b T-ANNs example. a Front panel. b Block diagram 4.2 The Neuro-fuzzy Controller 99 Fig. 4.8 Block diagram of the neuro-fuzzy controller with ... Degrees. b Direction A fuzzy contro ller that controls the direction can be u sed in combination with the obstacle avoidance controller. The directions controller will have as input the...

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Intelligent Control Systems with LabVIEW 1 doc

Intelligent Control Systems with LabVIEW 1 doc

... 210 Index 211 Intelligent Control Systems with LabVIEW Pedro Ponce-Cruz • Fernando D. Ramírez-Figueroa Intelligent Control Systems with LabVIEW 123 viii Preface fuzzy inference systems with an artificial ... Goonatilake S, Khebbal S (eds) ( 199 6) Intelligent hybrid systems. Wiley, New York 9. Medsker LR ( 199 5) Hybrid intelligent systems. Kluwer, Dordrecht 10....

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Intelligent Control Systems with LabVIEW 2 ppt

Intelligent Control Systems with LabVIEW 2 ppt

... precision is apparent, fuzzy systems are less efficient than more p recise algorithms in providin g P. Ponce-Cruz, F. D. Ramirez-Figueroa, Intelligent Control Systems with LabVIEW 9 © Springer 2010 ... system since 199 7 that senses wheel speed, road conditions, and driving pattern, and the fuzzy ABS determines the braking action, with skid control [3]. ut Example 2.5. Since...

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Intelligent Control Systems with LabVIEW 4 docx

Intelligent Control Systems with LabVIEW 4 docx

... series. Control systems Function approximation, classification, unsupervised clustering and forecasting are characteristics that control systems uses. Then, ANNs are used in modeling and analyzing control ... U. Halici, A. Erol and G. Ongun developed a fingerprint classification with neural networks. This approach was designed in 199 9 and the idea was to recognize fingerprints. This...

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Intelligent Control Systems with LabVIEW 5 pot

Intelligent Control Systems with LabVIEW 5 pot

... 3:3357–3358 Taji K, Miyake T, Tamura H ( 199 9) On error backpropagation algorithm using absolute error func- tion Systems, Man, and Cybernetics. 199 9. IEEE SM C 99 Conference Proceedings, IEEE International ... of them. P. Ponce-Cruz, F. D . Ramirez-Figueroa, Intelligent Control Systems with LabVIEW 89 © Springer 2010 4.2 The Neuro-fuzzy Controller 93 The advantages of this top...

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Intelligent Control Systems with LabVIEW 7 doc

Intelligent Control Systems with LabVIEW 7 doc

... in NIWEEK 20 09 Austin Texas Futher Reading Jang JSR ( 199 2) Self-Learning Fuzzy Controller Based on Temporal Back-Propagation. IEEE Trans. on Neural Networks, 3:714–723 Jang JSR ( 199 3) ANFIS: Adaptive-Network-based ... representations exist such as bit string, P. Ponce-Cruz, F. D. Ramirez-Figueroa, Intelligent Control Systems with LabVIEW 123 © Springer 2010 124 5 Genetic Algori...

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Intelligent Control Systems with LabVIEW 8 ppt

Intelligent Control Systems with LabVIEW 8 ppt

... D. Ramirez-Figueroa, Intelligent Control Systems with LabVIEW 155 © Springer 2010 156 6 Simulated Annealing, FCM, Partition Coefficients and Tabu Search Monte Carlo method with this computer. ... 20% of cost reduction in problems with 2500 traffic demand areas with code division multiple access (CDMA) systems. 6.2 Simulated Annealing It was in 198 2 and 198 3 that Kirkpatrick,...

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Intelligent Control Systems with LabVIEW 10 pps

Intelligent Control Systems with LabVIEW 10 pps

... 215 Neighborhood 174 Neural network 4, 9, 53, 72, 192 Neuro-fuzzy controller 89, 90 Neuro-fuzzy system 89 NI USB DAQ 7 Non-seasonal 199 Non-stationary 199 NP-complete problem 156 Number of partitions ... PP ( 199 5) Adaptive prediction and predictive control. IEE, London 11. Wellstead PE, Zarrop MB ( 199 1) Self-tuning systems control and signal processing. Wiley, New York 12. Den...

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