Similarity Analysis and Knowledge Acquisition by Use of Evolving Neural Models and Fuzzy Decision

This chapter contains sections titled:

• Introduction

• Basics of Information Granulation

• The Fixed Unsupervised Learning Algorithm for Information Granulation

• Growing Learning Algorithms for Information Granulation

• Comparison of the Growing and the Fixed Learning Algorithms for Information Granulation

• Selection of Features for the Similarity Analysis

• Example of Similarity Analysis of Images

• Two-Parameter Fuzzy Rule-Based Similarity Analysis

• Unsupervised Classification for Knowledge Acquisition

• Conclusion

• References