HCCI Intelligent Rapid Modeling by Artificial Neural Network and Genetic Algorithm
A Dynamic model of Homogeneous Charge Compression Ignition (HCCI), based on chemical kinetics principles and artificial intelligence, is developed. The model can rapidly predict the combustion probability, thermochemistry properties, and exact timing of the Start of Combustion (SOC). A realization f...
Saved in:
Main Authors: | AbdoulAhad Validi, Jyh-Yuan Chen, Akbar Ghafourian |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2012-01-01
|
Series: | Journal of Combustion |
Online Access: | http://dx.doi.org/10.1155/2012/854393 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advanced HCCI Engines: Challenges and Potential Applications
by: Xie Mingyang
Published: (2025-01-01) -
HCCI Engines: Benefits, Challenges and Future Advancements
by: Fei Yifan
Published: (2025-01-01) -
Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes
by: Cillian Thompson, et al.
Published: (2024-03-01) -
Quasi-Dimensional Modelling and Parametric Studies of a Heavy-Duty HCCI Engine
by: Sunil Kumar Pandey, et al.
Published: (2011-01-01) -
Comparison of Ignition Control Techniques in HCCI Engines from Theoretical and Practical Perspectives
by: Yang Jiaqi
Published: (2025-01-01)