Combustion Optimization Based on Computational Intelligence. ([2018])
- Record Type:
- Book
- Title:
- Combustion Optimization Based on Computational Intelligence. ([2018])
- Main Title:
- Combustion Optimization Based on Computational Intelligence
- Further Information:
- Note: Hao Zhou, Kefa Cen.
- Authors:
- Zhou, Hao
Cen, Kefa - Contents:
- The influence of combustion parameters on NOx emissions and carbon burnout -- Modeling methods for combustion characteristics -- Neural network modeling of combustion characteristics -- Support vector machine modeling the combustion characteristics -- Combining neural network or support vector machine with optimization algorithms to optimize the combustion -- Online combustion optimization system.
- Publisher Details:
- Singapore Hangzhou, China : Springer Singapore Zhejiang University Press
- Publication Date:
- 2018
- Extent:
- 1 online resource (xxvi, 270 pages), 229 illustrations, 129 illustrations in color
- Subjects:
- 621.402/3
658.26
Combustion -- Mathematical models
Computational intelligence
Chemical engineering
Electric power production
Thermodynamics
Heat engineering
Heat -- Transmission
Mass transfer
TECHNOLOGY & ENGINEERING -- Mechanical
Thermodynamics
Mass transfer
Heat -- Transmission
Heat engineering
Electric power production
Chemical engineering
Combustion -- Mathematical models
Computational intelligence
Computational Intelligence
Electronic books - Languages:
- English
- ISBNs:
- 9789811078750
9811078750 - Related ISBNs:
- 9789811078736
9811078734 - Notes:
- Note: Includes bibliographical references and index.
Note: Description based on online resource; title from digital title page (viewed on April 20, 2018). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.399209
- Ingest File:
- 02_427.xml