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010   $a981-13-2640-1
024 7 $a10.1007/978-981-13-2640-0
035   $a(CKB)4100000006674618
035   $a(MiAaPQ)EBC5525855
035   $a(DE-He213)978-981-13-2640-0
035   $a(PPN)230540341
035   $a(EXLCZ)994100000006674618
100   $a20180925d2019      u|             0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplications of Artificial Intelligence Techniques in Industry 4.0$b[electronic resource] /$fby Aydin Azizi
205   $a1st ed. 2019.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2019.
215   $a1 online resource (70 pages)
225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-530X
311   $a981-13-2639-8 
327   $aIntroduction -- Modern Manufacturing -- RFID Network Planning -- Hybrid Artificial Intelligence Optimization Technique -- Implementation.
330   $aThis book is to presents and evaluates a way of modelling and optimizing nonlinear RFID Network Planning (RNP) problems using artificial intelligence techniques. It uses Artificial Neural Network models (ANN) to bind together the computational artificial intelligence algorithm with knowledge representation an efficient artificial intelligence paradigm to model and optimize RFID networks. This effort leads to proposing a novel artificial intelligence algorithm which has been named hybrid artificial intelligence optimization technique to perform optimization of RNP as a hard learning problem. This hybrid optimization technique consists of two different optimization phases. First phase is optimizing RNP by Redundant Antenna Elimination (RAE) algorithm and the second phase which completes RNP optimization process is Ring Probabilistic Logic Neural Networks (RPLNN). The hybrid paradigm is explored using a flexible manufacturing system (FMS) and the results are compared with well-known evolutionary optimization technique namely Genetic Algorithm (GA) to demonstrate the feasibility of the proposed architecture successfully.
410  0$aSpringerBriefs in Applied Sciences and Technology,$x2191-530X
606   $aElectrical engineering
606   $aArtificial intelligence
606   $aEngineering economics
606   $aEngineering economy
606   $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aEngineering Economics, Organization, Logistics, Marketing$3https://scigraph.springernature.com/ontologies/product-market-codes/T22016
615  0$aElectrical engineering.
615  0$aArtificial intelligence.
615  0$aEngineering economics.
615  0$aEngineering economy.
615 14$aCommunications Engineering, Networks.
615 24$aArtificial Intelligence.
615 24$aEngineering Economics, Organization, Logistics, Marketing.
676   $a658.0563
700   $aAzizi$b Aydin$4aut$4http://id.loc.gov/vocabulary/relators/aut$0860939
906   $aBOOK
912   $a9910350312803321
996   $aApplications of Artificial Intelligence Techniques in Industry 4.0$91921309
997   $aUNINA