A visual toolbox for modeling and testing multi‐net neural systems. Issue 1 (2nd July 2010)

• Record Type: Journal Article
• Authors: Melin, Patricia; Mendoza, Olivia; Castillo, Oscar; Castro, Juan Ramon
• Is Part Of: Computer applications in engineering education. Volume 21:Issue 1(2013:Mar.)
• Page Start: 164
• Page End: 184
• Publication Date: 2010-07-02
• Subjects: Engineering -- Study and teaching (Higher) -- Periodicals; Engineering -- Computer-assisted instruction -- Periodicals; 620
• DOI: 10.1002/cae.20459
• Languages: English
• ISSNs: 1061-3773

Abstract

<abstract abstract-type="main" xml:lang="en"> <title>Abstract</title> <p>Neural networks (NN) and muti‐net neural systems are popular and important topics for graduate engineering students. This paper describes a visual toolbox that has been developed to perform experiments with new multi‐net neural structures, including ensemble and modular NN approaches. This toolbox can be considered an important contribution for graduate engineering education and research because it is a complete tool that allows to draw models, set parameters, save projects, and generate files with results in a user friendly visual environment. Experimental results with a group of students after using the toolbox show a significant improvement on the acquired knowledge of NNs concepts. © 2010 Wiley Periodicals, Inc. Comput Appl Eng Educ 21: 164–184, 2013</p> </abstract>