Interpretability of Computational Intelligence-Based Regression Models

• Main Authors: Kenesei, Tamás (Author), Abonyi, János (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Edition: 1st ed. 2015.
• Series: SpringerBriefs in Computer Science,
• Subjects: Computer science.; Data mining.; Artificial intelligence.; Computational intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computational Intelligence.; Data Mining and Knowledge Discovery.

The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models, and interpretability of the resulting rule-based systems can be ensured by special model reduction and visualization techniques. The first part of the book deals w...