Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Internal combustion engines. --- Gas and oil engines --- Gas engines --- Engines --- Gas producers --- Heat-engines --- Motors

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

"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."--

Artificial intelligence --- Internal combustion engines --- Industrial applications. --- Data processing. --- Gas and oil engines --- Gas engines --- Engines --- Gas producers --- Heat-engines --- Motors --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers