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Interpretability of Computational Intelligence-Based Regression Models
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...
| Call Number: | Libro Electrónico |
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| Main Authors: | , |
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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| Edition: | 1st ed. 2015. |
| Series: | SpringerBriefs in Computer Science,
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| Subjects: | |
| Online Access: | Texto Completo |
Table of Contents:
- Introduction
- Interpretability of Hinging Hyperplanes
- Interpretability of Neural Networks
- Interpretability of Support Vector Machines
- Summary.