Self-Learning and Adaptive Algorithms for Business Applications

Zhengbing Hu is an Associate Professor, School of Educational Information Technology, Huazhong Normal University, China. Yevgeniy V. Bodyanskiy is a Professor at the Department of Artificial Intelligence, Kharkiv National University of Radioelectronics. Oleksii Tyshchenko is a Researcher at the Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, Czech Republic.

• Introduction 1. Review of the Problem Area 2. Adaptive Methods of Fuzzy Clustering 3. Kohonen Maps and their Ensembles for Fuzzy Clustering Tasks 4. Simulation Results and Solutions for Practical Tasks Conclusion

This guide explains how to apply methods using systems built by a combination of the neural network approach and fuzzy logic (neuro-fuzzy systems) to solve practical data classification problems in business. It describes methods aimed at handling the main types of uncertainties in data, using adaptive methods of fuzzy clustering; the use of Kohonen maps and their ensembles for fuzzy clustering tasks; and simulation results of these neuro-fuzzy architectures, their learning methods, self-organization, and clustering procedures.