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Proceedings Paper

NVIS: an interactive visualization tool for neural networks
Author(s): Matthew J. Streeter; Matthew O. Ward; Sergio A. Alvarez
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Paper Abstract

This paper presents NVIS, an interactive graphical tool used to examine the weights, topology, and activations of a single artificial neural networks (ANN), as well as the genealogical relationships between members of a population of ANNs as they evolve under an evolutionary algorithm. NVIS is unique in its depiction of nodal activation values, its usage of family tree diagrams to indicate the origin of individual networks, and the degree of interactivity it allows the user while the learning process takes place. The authors have made use of these feature to obtain insights into both the workings of single neural networks and the evolutionary process, based upon which we consider NVIS to be an effective visualization tool of value to designers, users, and students of ANNs.

Paper Details

Date Published: 3 May 2001
PDF: 8 pages
Proc. SPIE 4302, Visual Data Exploration and Analysis VIII, (3 May 2001); doi: 10.1117/12.424934
Show Author Affiliations
Matthew J. Streeter, Worcester Polytechnic Institute (United States)
Matthew O. Ward, Worcester Polytechnic Institute (United States)
Sergio A. Alvarez, Wellesley College (United States)

Published in SPIE Proceedings Vol. 4302:
Visual Data Exploration and Analysis VIII
Robert F. Erbacher; Philip C. Chen; Jonathan C. Roberts; Craig M. Wittenbrink; Matti Grohn, Editor(s)

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