The current research attempts to offer a novel method for solving fuzzy differential equations with initial conditions based on the use of feed-forward neural networks. First, the fuzzy differentialâ€¦ (More)

This paper attempts to propose a new method based on capabilities of artificial neural networks, in function approximation, to attain the solution of optimal control problems. To do so, we try toâ€¦ (More)

In this paper a novel method is introduced based on the use of an unsupervised version of kernel least mean square (KLMS) algorithm for solving ordinary differential equations (ODEs). The algorithmâ€¦ (More)

In this paper, the ability of fuzzy systems is used to estimate the solution of crisp optimal control problems. To solve an optimal control problem, first the well-known Eulerâ€“Lagrange conditions areâ€¦ (More)

In this paper the perceptron neural networks are applied to approximate the solution of fractional optimal control problems. The necessary (and also sufficient in most cases) optimality conditionsâ€¦ (More)

This paper presents a new method based on the use of an optimization approach along with kernel least mean square (KLMS) algorithm for solving ordinary differential equations (ODEs). The new approachâ€¦ (More)

In this paper the perceptron neural networks are applied to approximate the solution of fractional optimal control problems. The necessary (and also sufficient in most cases) optimality conditionsâ€¦ (More)