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Springerbriefs in Applied Sciences and Technology Ser.: Applications of Artificial Intelligence Techniques in Industry 4. 0 by Aydin Azizi (2018, Trade Paperback)

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About this product

Product Identifiers

PublisherSpringer

ISBN-109811326398

ISBN-139789811326394

eBay Product ID (ePID)22038427286

Product Key Features

Number of PagesXii, 61 Pages

LanguageEnglish

Publication NameApplications of Artificial Intelligence Techniques in Industry 4. 0

SubjectIndustrial Management, Intelligence (Ai) & Semantics, Telecommunications

Publication Year2018

TypeTextbook

AuthorAydin Azizi

Subject AreaComputers, Technology & Engineering, Business & Economics

SeriesSpringerbriefs in Applied Sciences and Technology Ser.

FormatTrade Paperback

Dimensions

Item Weight16 Oz

Item Length9.3 in

Item Width6.1 in

Additional Product Features

Number of Volumes1 vol.

IllustratedYes

Table Of ContentIntroduction.- Modern Manufacturing.- RFID Network Planning.- Hybrid Artificial Intelligence Optimization Technique.- Implementation.

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

LC Classification NumberTK5101-5105.9