Tag Archives: neural networks

Implementation of Elman Recurrent Neural Network in WEKA

Foreword In this article, we will discuss the implementation of the Elman Network or Simple Recurrent Network (SRN) [1],[2] in WEKA. The implementation of Elman NN in WEKA is actually an extension to the already implemented Multilayer Perceptron (MLP) algorithm [3], so we first study MLP and it’s training algorithm, continuing with the study of… Read More »

Implementation of Competitive Learning Networks for WEKA

Foreword In a previous article, we shown that by using WEKA a researcher can easily implement her own algorithms without other technical concernings like binding an algorithm with a GUI or even loading the data from a file/database, as these tasks and many others are handled transparently by the WEKA framework. [1] In this article… Read More »