The Multiquadric Radial Basis Function (MQ) Method is a meshless collocation method with global basis functions. It is known to have exponentional convergence for interpolation problems. We descretize nonlinear elliptic PDEs by the MQ method. This results in modest-size systems of nonlinear algebraic equations which can be efficiently continued by standard continuation software such as AUTO and...

This work aims to numerically investigate the performance of multiquadric (MQ) radial basis function in more general formats for image reconstruction applications. Desired features, i.e., accuracy and shape parameter sensitivity, each form is compared explored. The famous Lena damaged using two levels damage: 20% 40%, a Salt-and-Pepper manner. It has been discovered this that β=3/2 produces rea...

One of the most common tasks in computer animation is inverse-kinematics, or determining a joint configuration required to place a particular part of an articulated character at a particular location in global space. Inversekinematics is required at design-time to assist artists using commercial 3D animation packages, for motion capture analysis, and for run-time applications such as games. We ...

The innovation of the present paper is analytical study Brownian motion effects on nanofluid flow and electromagnetic force between parallel disks with a heat source. Nanoparticle nondimensional temperature field velocity fluid were analyzed using Akbari-Ganji’s Method radial basis function approximation based Hardy multiquadric function. (AGM) strong method that solves any linear nonlinear dif...

This paper presents a methodology based on the collocation multiquadric radial basis functions to analyze the static and dynamic behavior of isotropic rectangular plates. The inertia and dissipative terms are evaluated by employing Newmark implicit time marching scheme. The spatial discretization of the differential equations generates greater number of algebraic equations than the unknown coef...

Robotic grasping and manipulation require controlling the gripper movement through different points in its work volume, necessitating inverse kinematics computations to determine joint angles. In the present work, a novel methodology, based on a radial basis function neural network, has been proposed for the inverse kinematics solution and a genetic algorithm-based approach for optimising the n...

This paper presents a novel technique which may be used to determine an appropriate threshold for interpreting the outputs of a trained Radial Basis Function (RBF) classifier. Results from two experiments demonstrate that this method can be used to improve the performance of RBF classifiers in practical applications.