A comparative analysis of optimized gear shifting controls for minimizing fuel consumption and engine emissions using neural networks, fuzzy logic, and rule-based approaches.
Fabrício Leonardo SilvaJony Javorski EckertMatheus H. R. MirandaSamuel Filgueira da SilvaLudmila Correa de Alkmin SilvaFranco Giuseppe DediniPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- fuel consumption
- fuzzy logic
- neural network
- tuning parameters
- expert systems
- travel time
- diesel engine
- fault diagnosis
- optimization model
- genetic algorithm
- back propagation
- soft computing
- environmental impact
- fuzzy sets
- artificial neural networks
- spark ignition
- intelligent control
- rule base
- computational intelligence
- radial basis function
- control system
- decision making