Automatic generation of fuzzy neural networks via reinforcement learning with applications in path planning of mobile robots

Abstract

Clustering and Q − value based Genetic Algorithm learning schemes f or F uzzy system design DF N N Dynamic F uzzy N eural N etwork DF QL Dynamic F uzzy Q − Learning DP Dynamic P rogramming DSGF QL Dynamic Self − Generated F uzzy Q − Learning DSGF QL − CA Dynamic Self − Generated F uzzy Q − Learning and Continuous Action Q − learning EBF Ellipsoidal Basis F unction EDSGF QL Enhanced Dynamic Self − Generated F uzzy Q − Learning F IS F uzzy Inf erence System F N N F uzzy N eural N etwork F QL F uzzy Q − Learning GA Genetic Algorithm GDF N N General Dynamic F uzzy N eural N etwork M F M embership F unction M OM M ean Of M aximum M OM O M ulti − Input M ulti − Output M OSI M ulti − Input Single − Output x