Results 11 to 20 of about 114,441 (314)
NARX-based nonlinear system identification using orthogonal least squares basis hunting [PDF]
An orthogonal least squares technique for basis hunting (OLS-BH) is proposed to construct sparse radial basis function (RBF) models for NARX-type nonlinear systems.
Wang, X.X. +2 more
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Orthogonal forward selection for constructing the radial basis function network with tunable nodes [PDF]
An orthogonal forward selection (OFS) algorithm based on the leave-one-out (LOO) criterion is proposed for the construction of radial basis function (RBF) networks with tunable nodes.
Xia Hong +6 more
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Optical communication systems often include nonlinear components, such as Mach–Zehnder modulators (MZMs). The components’ nonlinearity may have a deleterious effect on the system performance, especially when the memory effect is included ...
Hananel Faig +3 more
doaj +1 more source
Survey of Hermite Interpolating Polynomials for the Solution of Differential Equations
With progress on both the theoretical and the computational fronts, the use of Hermite interpolation for mathematical modeling has become an established tool in applied science.
Archna Kumari, Vijay K. Kukreja
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We made the comparison study and characterize the spectral properties of differential operators induced by the Dirichlet problem for the hyperbolic system without the lowest terms of the form $$ \cfrac{\partial^2{u^1}}{\partial{t}^2}+\cfrac{\partial^2{u ...
Olesya V Alexeeva +2 more
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On the Orthogonality in Real Symbolic 2-Plithogenic and 3-Plithogenic Vector Spaces [PDF]
This paper is dedicated to study the real inner product defined over symbolic 2-plithogenic vector spaces, where we discuss the concept of inner (scalar) products over the symbolic 2-plithogenic vector spaces by using the corresponding Euclidean scalar ...
Ahmed Hatip +2 more
doaj
Fully complex-valued radial basis function networks: orthogonal least squares regression and classification [PDF]
We consider a fully complex-valued radial basis function (RBF) network for regression and classification applications. For regression problems, the locally regularised orthogonal least squares (LROLS) algorithm aided with the D-optimality experimental ...
Harris, C. J. +7 more
core +1 more source
Orthogonal bases in specific generalized symmetry classes of tensors [PDF]
Let $V$ be a unitary vector space. Suppose $G$ is a permutation group of degree $m$ and $\Lambda$ is an irreducible unitary representation of $G$. We denote by $V_{\Lambda}(G)$ the generalized symmetry class of tensors associated with $G$ and $\Lambda ...
Gholamreza Rafatneshan, Yousef Zamani
doaj +1 more source
Orthogonal least squares algorithm for training multi-output radial basis function networks [PDF]
A constructive learning algorithm for multioutput radial basis function networks is presented. Unlike most network learning algorithms, which require a fixed network structure, this algorithm automatically determines an adequate radial basis function ...
S. Chen +8 more
core +1 more source
Orthogonal bases in a topological algebra are Schauder bases
In a topological algebra with separately continuous multiplication, the result quoted in the title is proved.
Subbash J. Bhatt, G. M. Deheri
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