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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools (Paperback, 1st ed. 2021) Loot Price: R4,411
Discovery Miles 44 110
Repayment Terms: R413 pm x 12*
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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools (Paperback, 1st ed. 2021): Jozsef Dombi,...

Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools (Paperback, 1st ed. 2021)

Jozsef Dombi, Orsolya Csiszar

Series: Studies in Fuzziness and Soft Computing, 408

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Loot Price R4,411 Discovery Miles 44 110 | Repayment Terms: R413 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Studies in Fuzziness and Soft Computing, 408
Release date: April 2022
First published: 2021
Authors: Jozsef Dombi • Orsolya Csiszar
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 173
Edition: 1st ed. 2021
ISBN-13: 978-3-03-072282-1
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
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LSN: 3-03-072282-1
Barcode: 9783030722821

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