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141124s1993 enka ob 101 0 eng d |
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|a OPELS
|b eng
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|c OPELS
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|a 897647315
|a 1162080525
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|a 9781483299020
|q (electronic bk.)
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|a 1483299023
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|z 9780080418988
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|a (OCoLC)896826290
|z (OCoLC)897647315
|z (OCoLC)1162080525
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|a Q334
|b .A7762 1993eb
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|x 009000
|2 bisacsh
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|a 629.8
|2 22
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|a Artificial intelligence in real-time control 1992 :
|b selected papers from the IFAC/IFIP/IMACS symposium, Delft, the Netherlands, 16-18 June 1992 /
|c edited by H.B. Verbruggen and M.G. Rodd.
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|a First edition.
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|a Oxford :
|b Published for the International Federation of Automatic Control by Pergamon Press,
|c 1993.
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|a 1 online resource (xiv, 531 pages) :
|b illustrations
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a IFAC symposia series ;
|v 1993, number 6
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|a "IFAC Symposium on Artificial Intelligence in Real-Time Control 1992"--Title page verso
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|a Includes bibliographical references and indexes.
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|a Print version record.
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|a The symposium had two main aims, to investigate the state-of-the-art in the application of artificial intelligence techniques in real-time control, and to bring together control system specialists, artificial intelligence specialists and end-users. Many professional engineers working in industry feel that the gap between theory and practice in applying control and systems theory is widening, despite efforts to develop control algorithms. Papers presented at the meeting ranged from the theoretical aspects to the practical applications of artificial intelligence in real-time control. Themes were.
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|a LEARNING OPTIMAL OR NEAROPTIMAL CONTROL PATHSREFERENCES; PART I: THE METHODOLOGY OF ARTIFICIAL INTELLIGENCE TECHNIQUES IN CONTROL SYSTEMS; Section II: Neural Net Control; CHAPTER 3. NEURAL NETWORKS APPLIED TO OPTIMAL FLIGHT CONTROL; 1 Introduction; 2 Neural Network as a Multipurpose Nonlinear Function; 3 Aircraft Model; 4 Optimal Control Problems; 5 Conclusions; 6 Acknowledgements; References; CHAPTER 4. ADAPTIVE NEURAL NETWORK CONTROL OF FES-INDUCED CYCLICAL LOWER LEG MOVEMENTS; INTRODUCTION; METHODS; CONCLUSION; REFERENCES
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|a CHAPTER 5. REGULARIZATION AS A SUBSTITUTE FOR PRE-PROCESSING OF DATA IN NEURAL NETWORK TRAINING1 Introduction; 2 Neural Networks as adaptive models; 3 Regularization instead of pre-processing; 4 Example; 5 Conclusions; References; CHAPTER 6. NEURAL NETWORK MODELLING AND CONTROL OF A PLANT EXHIBITING THE JUMP PHENOMENA; INTRODUCTION; THE JUMP PHENOMENA PLANT; NEURAL NONLINEAR MODELLING; TRAINING ALGORITHMS; NEURAL MODELLING; NEURAL PREDICTION MODELLING; NEURAL INTERNAL MODEL CONTROL; FUTURE WORK; CONCLUSIONS; ACKNOWLEDGEMENT; REFERENCES
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|a CHAPTER 7. NEURAL NETWORKS (METHODOLOGIES FOR PROCESS MODELLING AND CONTROL)ABSTRACT; INTRODUCTION; NEURAL NETWORK MODELLING; SIGMOIDAL FUNCTION NETWORKS; RADIAL BASIS FUNCTION NETWORKS; NEURAL NETWORK SOFTWARE SENSORS; DYNAMIC NEURAL NETWORKS; NEURAL NETWORK BASED CONTROL; CONCLUDING REMARKS; ACKNOWLEDGEMENTS; REFERENCES; CHAPTER 8. PARALLEL NONLINEAR DECOUPLING FOR PROCESS CONTROL -- A NARMAX APPROACH; INTRODUCTION; NON-LINEAR MODEL REPRESENTATION; PARALLEL DECOUPLING; INVERSE-BASED NONLINEAR PROCESS CONTROL; SIMULATION EXAMPLE -- A CHEMICAL REACTOR PROBLEM; CONCLUSIONS; ACKNOWLEDGEMENTS
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|a English.
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650 |
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|a Artificial intelligence
|v Congresses.
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|a Real-time control
|v Congresses.
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|a Intelligence artificielle
|0 (CaQQLa)201-0008626
|v Congr�es.
|0 (CaQQLa)201-0378219
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650 |
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|a Commande en temps r�eel
|0 (CaQQLa)201-0193937
|v Congr�es.
|0 (CaQQLa)201-0378219
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650 |
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|a TECHNOLOGY & ENGINEERING
|x Engineering (General)
|2 bisacsh
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650 |
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|a Artificial intelligence.
|2 fast
|0 (OCoLC)fst00817247
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|a Real-time control.
|2 fast
|0 (OCoLC)fst01091216
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|a Congress
|0 (DNLM)D016423
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|a Conference papers and proceedings.
|2 fast
|0 (OCoLC)fst01423772
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655 |
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|a Conference papers and proceedings.
|2 lcgft
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|a Actes de congr�es.
|2 rvmgf
|0 (CaQQLa)RVMGF-000001049
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700 |
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|a Verbruggen, H. B.,
|e editor.
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1 |
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|a Rodd, M. G.,
|e editor.
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|a International Federation of Automatic Control.
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|a International Federation for Information Processing.
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|a International Association for Mathematics and Computers in Simulation.
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|a IFAC Symposium on Artificial Intelligence in Real-Time Control
|n (4th :
|d 1992 :
|c Delft, Netherlands)
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776 |
0 |
8 |
|i Print version:
|t Artificial intelligence in real-time control 1992.
|b First edition
|z 0080418988
|w (DLC) 93033125
|w (OCoLC)28854278
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830 |
|
0 |
|a IFAC symposia series ;
|v 1993, no. 6.
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856 |
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|u https://sciencedirect.uam.elogim.com/science/book/9780080418988
|z Texto completo
|