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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

-20% su kodu: BOOKS
203,26 
Įprasta kaina: 254,08 
-20% su kodu: BOOKS
Kupono kodas: BOOKS
Akcija baigiasi: 2025-03-09
-20% su kodu: BOOKS
203,26 
Įprasta kaina: 254,08 
-20% su kodu: BOOKS
Kupono kodas: BOOKS
Akcija baigiasi: 2025-03-09
-20% su kodu: BOOKS
2025-02-28 254.0800 InStock
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Knygos aprašymas

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.

Informacija

Autorius: Orsolya Csiszár, József Dombi,
Serija: Studies in Fuzziness and Soft Computing
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2022
Knygos puslapių skaičius: 196
ISBN-10: 3030722821
ISBN-13: 9783030722821
Formatas: 235 x 155 x 11 mm. Knyga minkštu viršeliu
Kalba: Anglų

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