[PDF] Top 20 Solution of two-point fuzzy boundary value problems by fuzzy neural networks
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Solution of two-point fuzzy boundary value problems by fuzzy neural networks
... solving fuzzy differential equations (FDEs) since it is utilized widely for the purpose of modelling problems in science and ...practical problems require the solution of the FDE which ... See full document
16
New Numerical Approach for Solving Fuzzy Boundary Value Problems
... forward fuzzy neural network to find the numerical solution of the two- point fuzzy boundary value problems for the ordinary differential ...The fuzzy ... See full document
13
Vol 6, No 6 (2015)
... modified fuzzy neural networks for solving fuzzy differential ...modified fuzzy neural networks to approximate the solutions of ...the solution is obtainable at any ... See full document
11
Fuzzy approximate solutions of second-order fuzzy linear boundary value problems
... solving fuzzy differential equation are introduced in ...presented two analytical methods for solving an nth- order fuzzy linear differential equation with fuzzy initial ...of solution ... See full document
17
Sinc-collocation solution for nonlinear two-point boundary value problems arising in chemical reactor theory
... particular value of the parameters, λ = 10, β = 3, µ = 0.02. For such value of the parameters, a unique solution is guaranteed by the contraction mapping principle [7] and several authoress solve ... See full document
10
On the Solvability of Discrete Nonlinear Two Point Boundary Value Problems
... The function ak − 1, Δuk − 1 has the same properties as in 4, but the boundary conditions are different. For this reason, Guiro et al. defined a new norm in the Hilbert space considered in order to get, by using ... See full document
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A Method for Numerical Solution of Two Point Boundary Value Problems with Mixed Boundary Conditions
... y ′ = y ′ + − hG x y y ′ (14) where G and G 1 are increment functions. The method (14) appears to me similar to the implicit Euler me- thod available in [7], for initial value problems in ordinary ... See full document
7
Spline solutions for nonlinear two point boundary value problems
... In this paper we shall present some methods for the continuous approximation of the solution of the two point real nonlinear boundary value problem.. by the use of spline functions of or[r] ... See full document
17
Numerical solution of two-point boundary-value problems
... x nJ+l matrix and r is an nJ+l-vector Employing Euler's method to approximate the differential equation lala, this formulation of the discrete problem becomes This example will be used t[r] ... See full document
128
Two point fuzzy boundary value problem with eigenvalue parameter contained in the boundary condition
... article two point fuzzy boundary value problem is defined under the approach generalized Hukuhara differentiability ...the solution method of the fuzzy boundary ... See full document
8
Mean-field games and two-point boundary value problems
... the solution of the two-point boundary value problem (7) which is shown in Figures 1 and ...the solution to the two-point boundary value ... See full document
6
Solvability of n th-order Lipschitz equations with nonlinear three-point boundary conditions
... matching solution of a three-point boundary value problem, it needs usually four two-point boundary value problems and among them two ... See full document
16
THE SHOOTING METHOD FOR SOLVING SECOND ORDER FUZZY TWO-POINT BOUNDARY VALUE PROBLEMS
... To implement the shooting method, we first rewrite each system as a first order initial value system then solve the initial value problems involved using the FIRK. The solutions corresponding to the ... See full document
14
Two point boundary value problems involving reflection of the argument
... GUPTA, C.P., and MAWHIN, J.: Asymptotic conditions at the first two eigenvalues for the periodic solutions of Lienard differential equations and an inequality of E.. and WARD, J.R.: Nonu[r] ... See full document
11
The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models
... Hybrid neural networks – based systems, are based on an architecture which integrates the neural networks and the fuzzy logic based system in the form of parallel ...the neural ... See full document
6
The dependence of the modulus of elasticity on reference temperature in the theory of generalized thermoelastic diffiusion with one relaxation time
... [16] V. Lakshmikantham, T. Gnana Bhaskar, J. Vasundhara Devi, Theory of set dieren- tial equations in metric spaces, Cambridge Scientic Publishers, Cambridge, (2006). [17] V. Lakshmikantham, R. N. Mohapatra, Theory of ... See full document
11
A new evaluation model for selecting a qualified manager by using fuzzy Topsis approach
... as fuzzy numbers [24]. In other words, in fuzzy MCDM problems, the values of al- ternatives with respect to each criterion/attribute and the values of relative weights with respect to each ... See full document
10
Finite Difference Method For Solving Fuzzy Linear Boundary Value Problems
... order fuzzy boundary value problems, In which the fuzziness appeared together in the boundary conditions and in the nonhomogeneous term of the differential ...of solution depends ... See full document
7
A Numerical Method for Singular Boundary Value Problems
... y . It is then possible to formulate a two-step iterative formulation. First, using the given boundary conditions, an initial value can be assigned to the unknown function, i.e. y j , j = 1, , n . ... See full document
7
Solving fuzzy transportation problem using symmetric triangular fuzzy number
... Step 3: Determine the locations of nonzero basic feasible solutions in transportation table. There must be atleast one basic cell in each row and one in each column of the transportation table. Also the m+n-1 basic cells ... See full document
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