article

Free access

Algorithm animation of neural networks

Authors:

David Jackson,

Ian G. MortonAuthors Info & Claims

ACM SIGCUE Outlook, Volume 24, Issue 1-3

Pages 39 - 41

https://doi.org/10.1145/1013718.237522

Published: 01 January 1996 Publication History

PDF eReader

References

[1]

Badre, A., Beranek, M., Morris, J.M. and Stasko, J. Assessing Program Visualisation Systems as Instructional Aids, Proc. 4th International Conf. Computer Assisted Learning (ICCAL'92), Wolfville, Nova Scotia, Canada, published as Lecture Notes in Computer Science, Vol. 602, I. Tomek (ed.), Springer-Verlag, June 1992, pp. 87-99

Digital Library

Google Scholar

[2]

Brown, M. H. Exploring Algorithms Using Balsa-II, IEEE Computer, Vol. 21 No. 5, May 1988, pp. 14-36

Digital Library

Google Scholar

[3]

Brown, M. H. & Sedgewick, R. Techniques for Algorithm Animation, IEEE Software, Vol. 2 No. 1, January 1985, pp. 28-39

Digital Library

Google Scholar

[4]

Hartley, S. J. Animating Operating Systems Algorithms with XTANGO, Proc. 25th A CM SIGCSE Symposium, Phoenix, Arizona, March 1994, pp. 344-348

Digital Library

Google Scholar

[5]

Stasko, J., Badre, A. & Lewis, C. Do Algorithm Animations Assist Learning? An Empirical Study and Analysis, Proc. INTERCHI'93 Conf. on Human Factors in Computing Systems, Amsterdam, Netherlands, April 1993, pp. 61-66

Digital Library

Google Scholar

[6]

Stasko, J, TANGO: A Framework and System for Algorithm Animation, IEEE Computer, Vol. 23 No. 9, Sept. 1990, pp. 27-39

Digital Library

Google Scholar

[7]

Stasko, J. & Hayes, J. D. The XTANGO Algorithm Animation System, User Documentation, GVU Center, College of Computing, Georgia Tech, Atlanta GA, Dec. 1990

Google Scholar

Index Terms

Algorithm animation of neural networks
1. Computing methodologies
  1. Computer graphics
    1. Animation
  2. Machine learning
    1. Machine learning approaches
      1. Neural networks
2. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

Recommendations

The Training of Pi-Sigma Artificial Neural Networks with Differential Evolution Algorithm for Forecasting
Abstract
Looking at the artificial neural networks’ literature, most of the studies started with feedforward artificial neural networks and the training of many feedforward artificial neural networks models are performed with derivative-based algorithms ...
Granular neural networks

Fuzzy neural networks (FNNs) and rough neural networks (RNNs) both have been hot research topics in the artificial intelligence in recent years. The former imitates the human brain in dealing with problems, the other takes advantage of rough set theory ...
Data-driven Gaze Animation using Recurrent Neural Networks
MIG '19: Proceedings of the 12th ACM SIGGRAPH Conference on Motion, Interaction and Games

We present a data-driven gaze animation method using recurrent neural networks. The neural network is trained with motion capture data including different poses such as standing, sitting, and lying down and is able to learn the constraints related with ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ACM SIGCUE Outlook Volume 24, Issue 1-3

Jan.-July, 1996

234 pages

ISSN:0163-5735

DOI:10.1145/1013718

Issue’s Table of Contents

ITiCSE '96: Proceedings of the 1st conference on Integrating technology into computer science education
June 1996
236 pages
ISBN:0897918444
DOI:10.1145/237466
Chairman:
Boots Cassel
Villanova Univ., Villanova, PA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 1996

Published in SIGCUE Volume 24, Issue 1-3

Check for updates

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
596
Total Downloads

Downloads (Last 12 months)150
Downloads (Last 6 weeks)10

Reflects downloads up to 16 Nov 2024

Other Metrics

View Author Metrics

Citations

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

References

Index Terms

Recommendations

The Training of Pi-Sigma Artificial Neural Networks with Differential Evolution Algorithm for Forecasting

Granular neural networks

Data-driven Gaze Animation using Recurrent Neural Networks

Comments

Information

Published In

Publisher

Publication History

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

View options

PDF

eReader

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations