Search Results - adaptive _ differentiated ((equations algorithm) OR (encryption algorithm))
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A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…It is a solution to a set of differential equations known as the Lorenz Equations, which Edward N. …”
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Adaptive hybrid reduced differential transform method in solving nonlinear schrodinger equations
Published 2025“…In this paper, piecewise-analytical and numerical solutions are obtained by a new adapted approach named the Adaptive Hybrid Reduced Differential Transform Method (AHRDTM). …”
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Three-point Block Algorithm For Approximating Duffing Type Differential Equations
Published 2024journal::journal article -
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Feedforward neural network for solving particular fractional differential equations
Published 2024“…Fractional differential equations (FDEs) model real-world phenomena capturing memory effects. …”
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One-step block methods for solving ordinary and delay differential equations
Published 2011“…This thesis describes the implementation of one step block methods of Runge-Kutta type for solving first order Ordinary Differential Equations (ODEs) and Delay Differential Equations (DDEs). …”
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Adaptive step size of diagonally implicit block backward differentiation formulas for solving first and second order stiff ordinary differential equations with applications
Published 2020“…In this thesis, new classes of block methods based on backward differentiation formula (BDF) for solving first and second order stiff ordinary differential equations (ODEs) are developed. …”
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Block multistep methods for solving first order retarded and neutral delay differential equations
Published 2015“…This thesis investigates the numerical solutions for solving first order retarded and neutral delay differential equations and its analysis in block multistep methods. …”
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Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training
Published 2020“…In this study, a machine learning approach based on the unsupervised version of wavelet neural networks (WNNs) is used to solve two-dimensional elliptic partial differential equations (PDEs). The design of the WNNs must be judiciously addressed, particularly, the adopted training algorithm, since it greatly influences the generalization performance and the convergence rate of WNNs. …”
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Multistep block methods for solving higher order delay differential equations
Published 2016“…This thesis describes the development of numerical algorithms for solving higher order DDEs. One-point and two-point multistep block method based on the Adam-Bashforth- Moulton methods for solving higher ordinary differential equation are adapted to solve the higher order DDEs. …”
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Diagonally multistep block method for solving Volterra integro-differential equation with delay
Published 2023“…Volterra integro-differential equation with delay (VIDED) is solved using a diagonally multistep block method (DMB). …”
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Variable step size and order strategy for delay differential equations in PIE(CIE)s mode
Published 2014“…This article deals with the strategy of variable step size and variable order implementation that has been formulated for solving first order of delay differential equations. This strategy is adapted in PIE(CIE)s mode which is generally based on predictor-corrector scheme in multistep block method of order 4 to 9 with s is for convergence test. …”
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A hybrid technique of deep learning neural networks with finite difference method for higher order fractional Volterra-Fredholm integro-differential equations with φ-Caputo operato...
Published 2025“…This paper deals with the theoretical and numerical aspects for higher order Volterra-Fredholm fractional integro-differential equations (VF-IDEs) under φ-Caputo operator. …”
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Homotopy-perturbation method for solving linear and nonlinear differential equation
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Multivalue-multistage method for second-order ODEs
Published 2016“…The aim of this paper is to generate the needed framework to develop order conditions for second-order Ordinary Differential Equations (ODEs) by class of multivalue-multistage Nystrom method. …”
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Design of single- and multi-loop self-adaptive PID controller using heuristic based recurrent neural network for ALFC of hybrid power system
Published 2022“…Initially, the energy function is formulated and the differential equations governing the dynamics of HNN are derived. …”
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Application of multistage homotopy perturbation method to the chaotic Genesio System
Published 2012“…The results reveal that the new technique is a promising tool for the nonlinear chaotic systems of ordinary differential equations.…”
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Application of multistage homotopy perturbation method to the chaotic Genesio system
Published 2012“…The results reveal that the new technique is a promising tool for the nonlinear chaotic systems of ordinary differential equations.…”
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