A Genetic-Designed Beta Basis Function Neural Network for Multi-Variable Functions Approximation

Author： Aouiti C.  

Publisher： Taylor & Francis Ltd

ISSN： 0232-9298

Source： Systems Analysis Modelling Simulation, Vol.42, Iss.7, 2002-01, pp. : 975-1009

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Lie-theoretic generating relations involving multi-variable Hermite-Tricomi functions

By Khan Subuhi  

Integral Transforms and Special Functions, Vol. 20, Iss. 5, 2009-05 ,pp. : 365-375

Taylor & Francis Ltd

Access to resources Recommend Favorite

APPROXIMATION BY SPHERICAL NEURAL NETWORKS WITH ZONAL FUNCTIONS

By  

ANZIAM Journal, Vol. 58, Iss. 3-4, 2017-04 ,pp. : 238-246

Cambridge University Press

Access to resources Recommend Favorite

LOCAL RADIAL BASIS FUNCTION APPROXIMATION ON THE SPHERE

By  

Bulletin of the Australian Mathematical Society, Vol. 77, Iss. 2, 2008-04 ,pp. : 197-224

Cambridge University Press

Access to resources Recommend Favorite

Approximation of functions by higher order Szegö kernels I. Complex variable cases

By Wang Jinxun   Qian Tao  

Complex Variables and Elliptic Equations, Vol. 60, Iss. 6, 2015-06 ,pp. : 733-747

Taylor & Francis Ltd

Access to resources Recommend Favorite

Composite Coherent States Approximation for One-Dimensional Multi-Phased Wave Functions

By  

Communications in Computational Physics, Vol. 11, Iss. 3, 2012-03 ,pp. : 951-984

Cambridge University Press

Access to resources Recommend Favorite