Search Results for "radial basis function"

...Romanowski, "Adaptive solver of a Kohn-Sham equation for an atom", Modelling Simul. Mater. Sci. Eng. vol. 17, 045001 (2009) 2. Z. Romanowski, "Application of h-adaptive, high order finite element method to solve radial Schrödinger equation", Molecular Physics, vol. 107, pp. 1339-1348 (2009). Further questions: romz@wp.pl

eANN is an implementation of several kind of neural networks written with the intention of providing a (hopefully) easy to use, and easy to modify, OOP source code. It is possible to have several different sized networks running simultaneously, each functioning independently of the others or acting as inputs between them. It also easy to modify the structure so that neurons (or even whole layers) can be created/pruned during simulation allowing dynamic expansion/contraction of the network.

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.