Development of a modular Knowledge-Discovery Framework based on Machine Learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes
Download or Read eBook Development of a modular Knowledge-Discovery Framework based on Machine Learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes PDF written by Botticelli, Massimiliano and published by KIT Scientific Publishing. This book was released on 2023-07-03 with total page 210 pages. Available in PDF, EPUB and Kindle.
| Author | : Botticelli, Massimiliano |
| Publisher | : KIT Scientific Publishing |
| Total Pages | : 210 |
| Release | : 2023-07-03 |
| ISBN-10 | : 9783731512950 |
| ISBN-13 | : 3731512955 |
| Rating | : 4/5 (50 Downloads) |
Book Synopsis Development of a modular Knowledge-Discovery Framework based on Machine Learning for the interdisciplinary analysis of complex phenomena in the context of GDI combustion processes by : Botticelli, Massimiliano
Book excerpt: In this work, a novel knowledge discovery framework able to analyze data produced in the Gasoline Direct Injection (GDI) context through machine learning is presented and validated. This approach is able to explore and exploit the investigated design spaces based on a limited number of observations, discovering and visualizing connections and correlations in complex phenomena. The extracted knowledge is then validated with domain expertise, revealing potential and limitations of this method.
