Search Results for "radial basis function" - Page 2

The extended finite element method (XFEM) classified, one of the partition of unity method (PUM), allows discontinuities to be simulated independently of the mesh. This is possible by adding appropriate functions to the FE approximation basis, for example, the Heaviside function. The discontinuities can evolve in time, without a need for a conforming mesh. A MATLAB implementation of the XFEM written by VP Nguyen, is given here. The interaction of cracks and crack-inclusion interaction is modelled with XFEM framework. The elements intersected by discontinuity surface are sub-divided into quadrature subcells aligned with the discontinuity and higher order quadrature is adopted. ...

Point-based modelling and rendering using radial basis functions

Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.

Breeze a multiple class model neural network development system. Network models include multi-threaded Backpropagation and Radial Basis Function Networks, for time series prediction.

TMAP is a collection of tissue-specific maps as a function of cancer histological state. These are predicted on the basis of detected RNA expression data. TMAP includes the Java-based ProtPlot data display and analysis tool.

Oxtor's math draw is a program for drawing graphs mathematicians, starting with the mathematical function,it is written in Java,supported oper is:+-*/()^root log sin cos tan asin acos atan ln. Constant: e and P e = the basis of natural logarithms P = PI

Activity module to function in the Moodle (moodle.org) environment. Designed to facilitate teacher planning on a day-to-day basis

General purpose agents using reinforcement learning. Combines radial basis functions, temporal difference learning, planning, uncertainty estimations, and curiosity. Intended to be an out-of-the-box solution for roboticists and game developers.

Neural network library for C++ applications in Windows and Linux. Multi-Layer perceptron, radial-basis function networks and Hopfield networks are supported. You can interface this with Matlab's Neural Network Toolbox using the Matlab Extensions Pack