Artificial Intelligence and Data Driven Optimization of Internal Combustion Engines
Book Details
Format
Paperback / Softback
ISBN-10
0323884571
ISBN-13
9780323884570
Publisher
Elsevier - Health Sciences Division
Imprint
Elsevier - Health Sciences Division
Country of Manufacture
NL
Country of Publication
GB
Publication Date
Jan 28th, 2022
Print length
260 Pages
Weight
378 grams
Dimensions
22.80 x 15.20 x 1.60 cms
Product Classification:
Automotive technology & tradesAutomotive technology and trades
Ksh 32,250.00
Manufactured on Demand
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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.
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