Abstract: Field-programmable gate arrays (FPGAs) are becoming a promising heterogeneous computing component for scientific computing when floating-point optimized architectures are added to the ...
Abstract: Support Vector Machines, a new generation learning system based on recent advances in statistical learning theory deliver state-of-the-art performance in real-world applications such as text ...
This project implements a Radial Basis Function Neural Network with Gaussian kernel function and constant spread function. The implementation uses all points in the input as centers for the Radial ...
The algorithms learns a training set of MISIT (the hand written digit database) per algorithm and makes predictions of new set of digit (test set). The MINSIT databse got digits from 0 to 9 The ...
The book "Radial Basis Function Methods For Large-Scale Wave Propagation", details the development of techniques and ideas from the radial basis function. It begins with a mathematical description of ...
Dr. James McCaffrey of Microsoft Research explains how to design a radial basis function (RBF) network -- a software system similar to a single hidden layer neural network -- and describes how an RBF ...
ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...
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