Tag Archives: WEKA

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 »

Extending WEKA

Foreword This article is part of John’s Salatas BSc. Thesis with subject “Implementation of Artificial Neural Networks and Applications in Foreign Exchange Time Series Analysis and Forecasting” (Greek text)  completed at May 2011 under the supervision of Ass. Prof. C. N. Anagnostopoulos (Cultural Technology and Communication Dpt., University of Aegean). 1. Introduction to WEKA The… Read More »