Diesel engine performance and emission analysis running on jojoba biodiesel using intelligent hybrid prediction techniques

In this work, an analysis of the efficiency and emission variables of a jojoba-fuelled engine is carried out using optimization techniques. This research study investigates the introduction of intelligent hybrid prediction models using an adaptive neuro-fuzzy inference system (ANFIS), the ANFIS-genetic algorithm (GA), and the ANFIS-particle swarm optimization (PSO). The input variables are injection pressure, fuel injection timing, biodiesel...