Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools / Studies in Fuzziness and Soft Computing Bd.408 (PDF)
(Sprache: Englisch)
The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient....
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The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient.
Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.
Bibliographische Angaben
- Autoren: József Dombi , Orsolya Csiszár
- 2021, 1st ed. 2021, 173 Seiten, Englisch
- Verlag: Springer Nature Switzerland
- ISBN-10: 3030722805
- ISBN-13: 9783030722807
- Erscheinungsdatum: 28.04.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 10 MB
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Sprache:
Englisch
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