The objective in these problems is to obtain predictions about future values?? obtained from current and past values.
Published in Chapter:
Educational Software Based on Matlab GUIs for Neural Networks Courses
Pablo Díaz-Moreno (University of Valencia, Spain), Juan José Carrasco (University of Valencia, Spain), Emilio Soria-Olivas (University of Valencia, Spain), José M. Martínez-Martínez (University of Valencia, Spain), Pablo Escandell-Montero (University of Valencia, Spain), and Juan Gómez-Sanchis (University of Valencia, Spain)
Copyright: © 2016
|Pages: 26
DOI: 10.4018/978-1-4666-8823-0.ch011
Abstract
Neural Networks (NN) are one of the most used machine learning techniques in different areas of knowledge. This has led to the emergence of a large number of courses of Neural Networks around the world and in areas where the users of this technique do not have a lot of programming skills. Current software that implements these elements, such as Matlab®, has a number of important limitations in teaching field. In some cases, the implementation of a MLP requires a thorough knowledge of the software and of the instructions that train and validate these systems. In other cases, the architecture of the model is fixed and they do not allow an automatic sweep of the parameters that determine the architecture of the network. This chapter presents a teaching tool for the its use in courses about neural models that solves some of the above-mentioned limitations. This tool is based on Matlab® software.