Learning by Co-operation: Combining Multiple Computationally Intelligent Programs into a Computational Network

  • H. L. Viktor
  • I. Cloete
Conference paper


This paper introduces a computational network which combines computational intelligent programs into a general framework for intelligent data analysis. Integrating more than one program may potentially lead to more powerful and versatile results.


Rule Extraction Computational Network Concept Description Intelligent Data Analysis Intelligent Program 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [1]
    P. Clark and T. Niblett. The CN2 induction algorithm. Machine Learning, 3, 1989.Google Scholar
  2. [2]
    L.M. Fu. Neural Networks in Computational Intelligence. McGraw-Hill, 1994.Google Scholar
  3. [3]
    S. Hashem, B. Schemeiser, and Y. Yih. Optimal linear combinations of neural networks: An overview. In Proc. IEEE ICNN’94 Orlando, Florida, 1994.Google Scholar
  4. [4]
    R.C. Lacher and K.D. Nguyen. Hierarchical Architectures for Reasoning. Kluwer Academic Publishers, 1995.Google Scholar
  5. [5]
    C.J. Matheus, P.K. Chan, and G. Piatetsky-Shapiro. Systems for knowledge discovery in databases. IEEE Transactions on Knowledge Data Engineering, 5(6):904–913, 1993.CrossRefGoogle Scholar
  6. [6]
    J.R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo, CA, 1994.Google Scholar
  7. [7]
    H. Theron and I. Cloete. BEXA: A covering algorithm for learning propositional concept descriptions. Machine Learning, 14:321–331, 1996.Google Scholar
  8. [8]
    G.G. Towell and J.W. Shavlik. Refining Symbolic Knowledge using Neural Networks, chapter 4. Morgan Kaufmann, San Mateo, CA, 1994.Google Scholar
  9. [9]
    H.L. Viktor and I. Cloete. Extracting Knowledge from Tuberculosis Data. 1996.Google Scholar
  10. [10]
    H.L. Viktor and I. Cloete. A computational network for diabetes diagnosis using intelligent data analysis. In Proc. NEURAP’97. Marselle, France, 1997.Google Scholar
  11. [11]
    H.L. Viktor, A.P. Engelbrecht, and I. Cloete. Reduction of symbolic rules from artificial neural networks using sensitivity analysis. In Proc. IEEE ICNN’95. Perth, Australia, 1995.Google Scholar

Copyright information

© Springer-Verlag Wien 1998

Authors and Affiliations

  • H. L. Viktor
    • 1
    • 2
  • I. Cloete
    • 1
  1. 1.Computer Science DepartmentUniversity of StellenboschStellenboschSouth Africa
  2. 2.Department of InformaticsUniversity of PretoriaPretoriaSouth Africa

Personalised recommendations