TY - JOUR JO - Advances in Science and Technology Research Journal J2 - Adv. Sci. Technol. Res. J. SN - 2080-4075 VL - 11 IS - 3 PY - 2017 ID - Bapiri2017 TI - Variable Valve Timing Scheduling in a 4-Stroke Internal Combustion Cylinder Utilizing Artificial Neural Networks AB - The apparently simple structure of a four-stroke internal combustion cylinder belies the complicated problem of optimizing valve operation in response to a change in crankshaft rotation speed. The objective of this study was to determine the cylinder pressure for valve event angles in order to determine the optimal strategy for the timing of valve events when independently-actuated valves are available. In this work, an artificial neural network is applied to create a prediction matrix to anticipate the best variable valve timing approach according to rotation speed. AU - Bapiri, Sepehr AU - Chaghaneh, Omid AU - Ghomashi, Hossein SP - 114 EP - 121 DA - 2017 DO - 10.12913/22998624/75968 UR - https://doi.org/10.12913/22998624/75968 ER -