Differential-algebraic equations and singular perturbation methods in recurrent neural learning. Dynamical Systems , 2003, 18(1): 89–105. MathSciNet MATHRicardo Riaza and Pedro J Zufiria. Differential-algebraic equations and singular per- turbation methods in recurrent neural learning. Dynamical ...
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09 Interactions between topology and algebra_ advances in algebraic K-theory 53:34 About Irreversibility in Rarefied Gas Dynamics 54:26 General Relativity, Differential Geometry and Differential Equations; Stories Fr 56:46 Indigenous Knowledge in STEM Education 1:09:27 Random walks and graphs in ...
In the considered system, the weights are discontinuous; the classical definition of the solution for differential equations cannot apply here. Therefore we shall propose the Filippov solution to handle this problem. Filippov developed a solution to the differential equation with a discontinuous right-...
In this article, examine the performance of a physics informed neural networks (PINN) intelligent approach for predicting the solution of non-linear Lorenz differential equations. The main focus resides in the realm of leveraging unsupervised machine lea
A set of five ordinary differential equations (ODEs) describing the behavior of GHNN is obtained from the energy function which is formulated using the solution set of nonlinear algebraic transcendental equations. In some application, the ... V Srinath,MM Agarwal,DK Chaturvedi 被引量: 0发表: ...
These two transformations map differential or differential equations into algebraic equations, which are easier to manipulate. A set of algebraic equations of the LTI system is solved to find the responses of the system in the transformation domain. With the inverse transformation, the system ...
an fMRI simulation package. The data provided by this tool permit for more extensive comparison and statistical power. neurolib simulates whole-brain activity using a system of delay differential equations, which are non-local equations, thereby allowing the testing of ANIE’s ability to model non...
[79] and by Ricker and Lee [80], the TEP is described by 30 differential equations, 149 algebraic equations, 160 algebraic variables, 11 control variables and 26 states. The publicly accessible TEP dataset [81] is extensively utilized for various applications, including control strategy design, ...
Nevertheless, time integration methods, such as the Backward–Euler method, can be applied when formally extending Equation (28) with t ˙ = 1 to obtain a system of differential-algebraic equations (DAE), as it is common in finite element computations, where the inelastic material behavior is ...