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Produktbild: Neural Networks for Identification, Prediction and Control

Neural Networks for Identification, Prediction and Control

48,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.12.2012

Abbildungen

XIV, 238 p.

Verlag

Springer London

Seitenzahl

238

Maße (L/B/H)

23,5/15,5/1,5 cm

Gewicht

394 g

Auflage

Softcover reprint of the original 1st ed. 1995

Sprache

Englisch

ISBN

978-1-4471-3246-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.12.2012

Abbildungen

XIV, 238 p.

Verlag

Springer London

Seitenzahl

238

Maße (L/B/H)

23,5/15,5/1,5 cm

Gewicht

394 g

Auflage

Softcover reprint of the original 1st ed. 1995

Sprache

Englisch

ISBN

978-1-4471-3246-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Neural Networks for Identification, Prediction and Control
  • 1 Artificial Neural Networks.- l.1 Types of Neural Networks.- l.2 Example Neural Networks.- 1.3 Summary.- References.- 2 Dynamic System Identification Using Feedforward Neural Networks.- 2.1Dynamic System Descriptions.- 2.2 Identification Based on System Inputs and Outputs.- 2.3 Identification Based on Measurable System States.- 2.4 Input-output Model Identification.- 2.5 State-space Model Identification.- 2.6 Discussion.- 2.7 Analysis of the Hybrid Network.- 2.8 Summary.- References.- 3 Dynamic System Modelling Using Recurrent Neural Networks.- 3.1 Basic Ehnan Network.- 3.2 Modified Ehnan Network.- 3.3 Dynamic System Modelling.- 3.4 Further Analysis of Ehnan Networks.- 3.5 Summary.- References.- 4 Modelling and Prediction Using GMDH Networks.- 4.1 N-Adaline Networks and Widrow-Hoff Learning.- 4.2 GMDH Network Based on N-Adalines.- 4.3 Applications.- 4.4 Discussion.- 4.5 Summary.- References.- 5 Financial Prediction Using Neural Networks.- 5.1 Stock Market Prediction.- 5.2 Currency Exchange Rate Prediction.- 5.3 Data Sets Adopted for Simulation.- 5.4 Prediction Based on GMDH Networks.- 5.5 Prediction Based on Multilayer Perception Networks.- 5.6 Prediction Based on Recurrent Networks.- 5.7 Discussion.- 5.8 Summary.- References.- 6 Neural Network Controllers.- 6.1 Neural Network Controllers.- 6.2 Comparison of Neural Network Controllers.- 6.3 Summary.- References.- 7 Neuromorphic Fuzzy Controller Design.- 7.1 Integrating Neural Networks and FLCs.- 7.2 Results of Neuromorphic Fuzzy Controllers Design.- 7.3 Summary.- References.- 8 Robot Manipulator Control Using Neural Networks.- 8.1 Modelling of a Multi-joint Robot.- 8.2 Control System.- 8.3 Application to a Two-joint Robot Arm.- 8.4 Discussion.- 8.5 Summary.- References.- Appendix A Introduction to Some Conventional Techniques of Identification, Prediction and Control.- Appendix B Fuzzy Sets and Fuzzy Logic Control.- Appendix C Genetic Algorithms.- Appendix D Program: Feedforward Network for System Identification.- Appendix E Program: Modified Elman Network for Identification.- Appendix F Program: GMDH Network for Prediction.- Author Index.