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Applications of Artificial Intelligence Techniques in Industry 4.0

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Applications of Artificial Intelligence Techniques in Industry 4.0/ by Aydin Azizi.
Author:	Azizi, Aydin.
Description:	XII, 61 p. 50 illus., 34 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Electrical engineering. -
Online resource:	https://doi.org/10.1007/978-981-13-2640-0
ISBN:	9789811326400

Applications of Artificial Intelligence Techniques in Industry 4.0
Azizi, Aydin.

Applications of Artificial Intelligence Techniques in Industry 4.0[electronic resource] /by Aydin Azizi. - 1st ed. 2019. - XII, 61 p. 50 illus., 34 illus. in color.online resource. - SpringerBriefs in Applied Sciences and Technology,2191-530X. - SpringerBriefs in Applied Sciences and Technology,.

Introduction -- Modern Manufacturing -- RFID Network Planning -- Hybrid Artificial Intelligence Optimization Technique -- Implementation.

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.

ISBN: 9789811326400

Standard No.: 10.1007/978-981-13-2640-0doiSubjects--Topical Terms:

596380
Electrical engineering.

LC Class. No.: TK1-9971

Dewey Class. No.: 621.382

Applications of Artificial Intelligence Techniques in Industry 4.0
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