Spark Ignition Engine Modeling Using Optimized Artificial Neural Network

The spark ignition engine is a complex multi-domain system that contains many variables to be controlled and managed with the aim of attending performance requirements. traditional method workflow calibration comprise measure through design an experimental process demands high time costs on bench testing. For growing use virtualization artificial neural networks for physical systems at component level, we came up likely efficiency adoption same approach case could bring much better cost reduction efficiency. Therefore, developed integrated into development cycle allows us model black-box based auto-generated feedfoward Artificial Neural Network without needing human expertise required by hand-crafted process. model’s structure parameters are determined optimized genetic algorithm. proposed was used create ANN injection purposes. results indicated reduce