May

01

2021

Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances

BaDshaH 1 May 2021 08:58 LEARNING » e-book

Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances

English | 2021 | ISBN-13: 978-3030721381 | 393 Pages | PDF, EPUB | 41.8 MB

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.

Data-Driven Mining, Learning and Analytics for Secured Smart Cities: Trends and Advances

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