| Description |
1 online resource (xxx, 176 pages) : illustrations (some color) |
| Contents |
Chapter 1. Introduction to modeling of gas turbines -- chapter 2. White-box modeling, simulation, and control of GTs -- chapter 3. Black-box modeling, simulation, and control of GTs -- chapter 4. ANN-based system identification for industrial systems -- chapter 5. Modeling and simulation of a single-shaft GT -- chapter 6. Modeling and simulation of dynamic behavior of an IPGT -- chapter 7. Modeling and simulation of the start-up operation of an IPGT by using NARX models -- chapter 8. Design of neural network-based controllers for GTs |
| Summary |
"Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks not only offers a comprehensive review of the state of the art of gas turbine modeling and intelligent techniques, but also demonstrates how artificial intelligence can be used to solve complicated industrial problems, specifically in the area of GTs."--Back cover |
| Bibliography |
Includes bibliographical references (pages 153-167) and index |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed September 28, 2015) |
| Subject |
Gas-turbines -- Computer simulation
|
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Neural networks (Computer science)
|
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Neural Networks, Computer
|
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TECHNOLOGY & ENGINEERING -- Mechanical.
|
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Gas-turbines -- Computer simulation
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Neural networks (Computer science)
|
| Form |
Electronic book
|
| Author |
Chen, XiaoQi, 1963- author.
|
| ISBN |
1498726631 |
|
9781498726634 |
|
1498726615 |
|
9781498726610 |
|
9781498777544 |
|
1498777546 |
|
