Hybrid systems evolve in continuous time, like differential systems, but undergoing a fundamental change in their governing equations at a sequence of discrete times. When a continuous time dynamics of a hybrid system is given by a Fuzzy Differential Equations (FDEs), the system is called a hybrid fuzzy differential system. This structural and mathematical framework in our opinion is very close to the context of Artificial Intelligence and its applications in various fields.
Hybrid Fuzzy Differential System and Artificial Neural Networks: Some Issues in Economics / Ferrara, M.; Lagana, I. R.; Merenda, D. S.. - 288:(2020), pp. 15-22. [10.1007/978-3-030-45340-4_2]
Hybrid Fuzzy Differential System and Artificial Neural Networks: Some Issues in Economics
Ferrara M.
Supervision
;Lagana I. R.;Merenda D. S.
2020-01-01
Abstract
Hybrid systems evolve in continuous time, like differential systems, but undergoing a fundamental change in their governing equations at a sequence of discrete times. When a continuous time dynamics of a hybrid system is given by a Fuzzy Differential Equations (FDEs), the system is called a hybrid fuzzy differential system. This structural and mathematical framework in our opinion is very close to the context of Artificial Intelligence and its applications in various fields.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
