441,53 €
490,59 €
-10% with code: EXTRA
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines
441,53 € 
- We will send in 10–14 business days.
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, and optimize after-treatment systems and experimental engine calibration. It contains all the detai…
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- Publisher: Elsevier
- ISBN-10: 0323884571
- ISBN-13: 9780323884570
- Format: 15.2 x 22.9 x 1.4 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines (e-book) (used book) | bookbook.eu
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Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, and optimize after-treatment systems and experimental engine calibration. It contains all the details of the latest optimization techniques along with their application to ICE, making it ideal for automotive engineers, mechanical engineers, OEMs and R&D centers involved in engine design.EXTRA 10 % discount with code: EXTRA
441,53 €
490,59 €
We will send in 10–14 business days.
The promotion ends in 14d.06:29:46
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Publisher: Elsevier
- ISBN-10: 0323884571
- ISBN-13: 9780323884570
- Format: 15.2 x 22.9 x 1.4 cm, softcover
- Language: English English
Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines summarizes recent developments in Artificial Intelligence (AI)/Machine Learning (ML) and data driven optimization and calibration techniques for internal combustion engines. The book covers AI/ML and data driven methods to optimize fuel formulations and engine combustion systems, predict cycle to cycle variations, and optimize after-treatment systems and experimental engine calibration. It contains all the details of the latest optimization techniques along with their application to ICE, making it ideal for automotive engineers, mechanical engineers, OEMs and R&D centers involved in engine design.
Reviews