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Modelling and control of internal combustion engines using intelligent techniques
Shin Lee
, R.J. Howlett
,
Simon Walters
, Cyril Crua
University of Brighton
Research output
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Contribution to journal
›
Article
›
peer-review
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Keyphrases
Internal Combustion Engine
100%
Intelligent Methods
100%
Adaptive Neuro-fuzzy Inference System
66%
Fuel Spray
33%
Spray Penetration
33%
Neural Network
33%
Fuzzy Based
33%
Human Operator
33%
System Parameters
33%
Fuzzy Model
33%
Diesel Internal Combustion Engines
33%
Automatic Adjustment
33%
Human Expertise
33%
Accuracy Improvement
33%
Fuzzy Neural Network
33%
Combustion Modeling
33%
Control Accuracy
33%
Adaptive Control
33%
Fast Control
33%
Engineering
Internal Combustion Engine
100%
Fuzzy Inference System
50%
Fuzzy System
50%
Fuel Spray
25%
System Parameter
25%
Fuzzy Model
25%
Chemical Engineering
Fuzzy System
100%
Neural Network
50%