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Applications of Artificial Intelligence Techniques in Industry 4.0

โœ Scribed by Aydin Azizi


Publisher
Springer Singapore
Year
2019
Tongue
English
Leaves
70
Series
SpringerBriefs in Applied Sciences and Technology
Edition
1st ed.
Category
Library

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โœฆ Synopsis


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.

โœฆ Table of Contents


Front Matter ....Pages i-xii
Introduction (Aydin Azizi)....Pages 1-6
Modern Manufacturing (Aydin Azizi)....Pages 7-17
RFID Network Planning (Aydin Azizi)....Pages 19-25
Hybrid Artificial Intelligence Optimization Technique (Aydin Azizi)....Pages 27-47
Implementation (Aydin Azizi)....Pages 49-61

โœฆ Subjects


Engineering; Communications Engineering, Networks; Artificial Intelligence (incl. Robotics); Engineering Economics, Organization, Logistics, Marketing


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