Saturday, November 1, 2008

Multilayer perceptron - Software comparison

A Multilayer Perceptron for a classification task (neural network): comparison of TANAGRA, SIPINA and WEKA.

When we want to train a neural network, we have to follow these steps:
· Import the dataset;
· Select the discrete target attribute and the continuous input attributes;
· Split the dataset into learning and test set;
· Choose and parameterize the learning algorithm;
· Execute the learning process;
· Evaluate the performance of the model on the test set.

Keywords: neural network, multilayer perceptron, classifier assessment, sipina, weka
Components: Sampling, Supervised learning, Log-Reg TRIRLS, Linear Discriminant Analysis, C-SVC, Test
Tutorial: en_Tanagra_TSW_MLP.pdf
Dataset: ionosphere.arff
Wikipedia - "Neural network"