Intelligent Control Systems with LabVIEW 4 docx

Intelligent Control Systems with LabVIEW 4 docx

Intelligent Control Systems with LabVIEW 4 docx

... perceptron with the inputs x i and obtain the output signals y 0 i . Step 3 Calculate the error E with (3 .4) . Step 4 If error E D 0foreveryi then STOP. Else, update weight values with (3.5), ... series. Control systems Function approximation, classification, unsupervised clustering and forecasting are characteristics that control systems uses. Then, ANNs are used in modeling...

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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 ... AdvantagesofEvolutionaryAlgorithms 144 5.15 GeneticProgrammingAlgorithm 145 5.15.1 Length 146 5.16 GeneticProgrammingStages 146 5.16.1 Initialization 146 5.16....

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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 ... Triangular membership function with alpha cut of 0 .4 Fig. 2.17 Block diagram of the triangular membership function with alpha cut of 0 .4 2 .4. 8 The Resolution Principle This...

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Intelligent Control Systems with LabVIEW 5 pot

Intelligent Control Systems with LabVIEW 5 pot

... Neural Networks 75 Fig. 3. 34 Approximation function with T-ANN with 5 neurons Fig. 3.35 Approximation function with T-ANN with 10 neurons 84 3 Artificial Neural Networks Fig. 3 .46 The 2D-K ohonen network ... every one 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 advanta...

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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 ... O 5;1 D X i N! i f i D P i ! i f i P i ! i : (4. 24) 94 4 Neuro-fuzzy Controller Theory and Application D 2 6 6 6 6 6 6 6 4 P m iD1 y i P m iD1 y i cos .! 0 x i / : : : P m iD1 y...

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Intelligent Control Systems with LabVIEW 7 doc

Intelligent Control Systems with LabVIEW 7 doc

... squared front panel 4. 3 ANFIS: Adaptive Neuro-fuzzy Inference Systems 119 Fig. 4. 34 Block diagram showing the corrections in the ANFIS graph Table 4. 4 ANFIS example 2 MFs 4 Min E 1E–5 MaxI 10 ... function is described by (4. 26). f.x/ D 1 e ax C 1 ; 8a 2 R : (4. 26) 118 4 Neuro-fuzzy Controller Theory and Application Fig. 4. 32 Training procedure for ANFIS at 977 epochs Fig. 4...

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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. ... operators. The rules for the controllers used in the quadruped robot have the form of (5 .4) : IF Left is ALi Conn Central is ACi Conn Right is ARi THEN SLeft, SRight ; (5 .4) where ALi D...

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Intelligent Control Systems with LabVIEW 9 pdf

Intelligent Control Systems with LabVIEW 9 pdf

... X data Number X data Number X data Number X data 1 255 6 641 1581680 2 67 7 64 12 96 17 80 3 67 8 71 13 96 18 71 4 74 9 71 14 87 19 71 5 741 05815872062 Fig. 6.9 Block diagram of the initialization ... 11–15 March 2007, pp 44 11 44 16 9. Lee CY, Kang HG (2000) Cell planning with capacity expansion in mobile communications: a tabu search approach. IEEE Trans Vehic Technol 49 (5):1678–...

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Intelligent Control Systems with LabVIEW 10 pps

Intelligent Control Systems with LabVIEW 10 pps

... programming 143 , 146 , 149 , 150 Create 146 Execute 146 Fitness function 147 Full select 146 Generate an initial population 146 Grow 146 Mutation 149 Selection operator 147 Simple crossover operation 147 GlaxoSmithKline ... 0.8 0 .4 0.65 0.5 0 .45 P. Ponce-Cruz, F. D. Ramirez-Figueroa, Intelligent Control Systems with LabVIEW 191 © Springer 2010 7.7 Example of Predictors...

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