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عنوان
Applications of artificial intelligence techniques in Industry 4.0 /

پدید آورنده
Aydin Azizi.

موضوع
Artificial intelligence-- Industrial applications.,Artificial Intelligence (incl. Robotics).,Communications Engineering, Networks.,Engineering Economics, Organization, Logistics, Marketing.,Artificial intelligence-- Industrial applications.,Artificial intelligence.,Communications engineering / telecommunications.,COMPUTERS / General.,Engineering: general.

رده
TA347
.
A78

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
9789811326394
(Number (ISBN
9789811326400
(Number (ISBN
9789811326417
(Number (ISBN
9811326398
(Number (ISBN
9811326401
(Number (ISBN
981132641X
Erroneous ISBN
9789811326394

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Applications of artificial intelligence techniques in Industry 4.0 /
General Material Designation
[Book]
First Statement of Responsibility
Aydin Azizi.

.PUBLICATION, DISTRIBUTION, ETC

Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2019.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource.

SERIES

Series Title
SpringerBriefs in applied sciences and technology

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references.

CONTENTS NOTE

Text of Note
Introduction -- Modern Manufacturing -- RFID Network Planning -- Hybrid Artificial Intelligence Optimization Technique -- Implementation.
0

SUMMARY OR ABSTRACT

Text of Note
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.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811326400

OTHER EDITION IN ANOTHER MEDIUM

International Standard Book Number
9789811326394
International Standard Book Number
9789811326417

TOPICAL NAME USED AS SUBJECT

Artificial intelligence-- Industrial applications.
Artificial Intelligence (incl. Robotics).
Communications Engineering, Networks.
Engineering Economics, Organization, Logistics, Marketing.
Artificial intelligence-- Industrial applications.
Artificial intelligence.
Communications engineering / telecommunications.
COMPUTERS / General.
Engineering: general.

(SUBJECT CATEGORY (Provisional

COM-- 000000
TJK
TJK

DEWEY DECIMAL CLASSIFICATION

Number
006
.
3
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
TA347
.
A78

PERSONAL NAME - PRIMARY RESPONSIBILITY

Azizi, Aydin

ORIGINATING SOURCE

Date of Transaction
20200823235310.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]

Y

Proposal/Bug Report

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