Volume 7 Number 11 (Nov. 2012)
Home > Archive > 2012 > Volume 7 Number 11 (Nov. 2012) >
JCP 2012 Vol.7(11): 2655-2662 ISSN: 1796-203X
doi: 10.4304/jcp.7.11.2655-2662

Topological Data Mapping for Improved Generalization Capabilities using Counter Propagation Networks

H. Madokoro, K. Sato
Department of Machine Intelligence and Systems Engineering, Faculty of Systems Science and Technology, Akita Prefectural University, Yurihonjo, Japan
Abstract—This paper presents a method to improve generalization capabilities of supervised neural networks based on topological data mapping used in Counter Propagation Networks (CPNs). Our method provides advantages to interpolate new data in sparse areas that exist among categories and to remove overlapping or conflicting data in original training data. Moreover, our method can control the number of training data by changing the size of the category map according to a problem to be solved. We applied our method to classification problems of two-dimensional datasets for evaluation of basic characteristics of our method. The classification results show that decision boundaries are changed and that generalization capabilities are improved using our method. Moreover, we applied our method to face recognition under various illumination conditions using the Yale Face Database B. The results indicate that our method provides not only improved generalization capabilities, but also visualizes spatial distributions of support vectors on a category map.

Index Terms—Generalization Capability, Support Vector Machine, Counter Propagation Networks.

[PDF]

Cite: H. Madokoro, K. Sato, "Topological Data Mapping for Improved Generalization Capabilities using Counter Propagation Networks," Journal of Computers vol. 7, no. 11, pp. 2655-2662, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
  • Nov 14, 2019 News!

    Vol 14, No 11 has been published with online version   [Click]

  • Mar 20, 2020 News!

    Vol 15, No 2 has been published with online version   [Click]

  • Dec 16, 2019 News!

    Vol 14, No 12 has been published with online version   [Click]

  • Sep 16, 2019 News!

    Vol 14, No 9 has been published with online version   [Click]

  • Aug 16, 2019 News!

    Vol 14, No 8 has been published with online version   [Click]

  • Read more>>