Interpretability of Computational Intelligence-Based Regression Models

• Κύριοι συγγραφείς: Kenesei, Tamás (Συγγραφέας), Abonyi, János (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Έκδοση: 1st ed. 2015.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: 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...

Πίνακας περιεχομένων:

• Introduction
• Interpretability of Hinging Hyperplanes
• Interpretability of Neural Networks
• Interpretability of Support Vector Machines
• Summary.