Applications of Artificial Intelligence Techniques in Industry 4.0
Authors: Azizi, Aydin
Free Preview- Presents and evaluates a way of modelling and optimizing nonlinear RFID Network Planning (RNP) problems using artificial intelligence techniques
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- About this book
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This book is to presents and evaluates a way of modelling and optimizing nonlinear RFID Network Planning (RNP) problems using artificial intelligence techniques. It uses Artificial Neural Network models (ANN) to bind together the computational artificial intelligence algorithm with knowledge representation an efficient artificial intelligence paradigm to model and optimize RFID networks.
This effort leads to proposing a novel artificial intelligence algorithm which has been named hybrid artificial intelligence optimization technique to perform optimization of RNP as a hard learning problem. This hybrid optimization technique consists of two different optimization phases. First phase is optimizing RNP by Redundant Antenna Elimination (RAE) algorithm and the second phase which completes RNP optimization process is Ring Probabilistic Logic Neural Networks (RPLNN).
The hybrid paradigm is explored using a flexible manufacturing system (FMS) and the results are compared with well-known evolutionary optimization technique namely Genetic Algorithm (GA) to demonstrate the feasibility of the proposed architecture successfully.
- Table of contents (5 chapters)
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Introduction
Pages 1-6
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Modern Manufacturing
Pages 7-17
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RFID Network Planning
Pages 19-25
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Hybrid Artificial Intelligence Optimization Technique
Pages 27-47
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Implementation
Pages 49-61
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Table of contents (5 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Applications of Artificial Intelligence Techniques in Industry 4.0
- Authors
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- Aydin Azizi
- Series Title
- SpringerBriefs in Applied Sciences and Technology
- Copyright
- 2019
- Publisher
- Springer Singapore
- Copyright Holder
- The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- eBook ISBN
- 978-981-13-2640-0
- DOI
- 10.1007/978-981-13-2640-0
- Softcover ISBN
- 978-981-13-2639-4
- Series ISSN
- 2191-530X
- Edition Number
- 1
- Number of Pages
- XII, 61
- Number of Illustrations
- 16 b/w illustrations, 34 illustrations in colour
- Topics
