Regression modeling and multi-objective optimization of rheological behavior of non-Newtonian hybrid antifreeze: Using different neural networks and evolutionary algorithms
WeiHong JinSchool of Computer Engineering, Chongqing College of Humanities, Science & Technology, Chongqing, Hechuan, 401524, ChinaAli BasemFaculty of Engineering, Warith Al-Anbiyaa University, Karbala 56001, IraqMohammadreza BaghoolizadehDepartment of Mechanical Engineering, Shahrekord University, Shahrekord 88186-34141, IranSaeed S. KamoonAssistant Professor of Nuclear Physics, Madenat Alelem University College, 10006 Baghdad, IraqMortatha Al‐YasiriSoheil SalahshourDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, LebanonMaboud HekmatifarDepartment of mechanical engineering, Khomeinishahr branch, Islamic Azad University, Khomeinishahr, Iran
2024en
ABI
Аннотация
Аннотация мавжуд эмас.
Идентификаторлар
Иқтибослар ва манбалар
2 та иқтибос0 та фойдаланилган манба