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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 Silva, Jony Javorski Eckert, Matheus Henrique Rodrigues Miranda, Samuel Filgueira da Silva, Ludmila C. A. Silva, Franco Giuseppe Dedini

2024Engineering Applications of Artificial Intelligence17 citationsDOI

Topics & Concepts

Computer scienceFuzzy logicFuel efficiencyArtificial neural networkAutomotive engineeringConsumption (sociology)Artificial intelligenceEngineeringSocial scienceSociologyVehicle emissions and performanceElectric and Hybrid Vehicle TechnologiesAdvanced Combustion Engine Technologies
A comparative analysis of optimized gear shifting controls for minimizing fuel consumption and engine emissions using neural networks, fuzzy logic, and rule-based approaches | Litcius