03461nam 22005535 450 991035031280332120200705155411.0981-13-2640-110.1007/978-981-13-2640-0(CKB)4100000006674618(MiAaPQ)EBC5525855(DE-He213)978-981-13-2640-0(PPN)230540341(EXLCZ)99410000000667461820180925d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierApplications of Artificial Intelligence Techniques in Industry 4.0[electronic resource] /by Aydin Azizi1st ed. 2019.Singapore :Springer Singapore :Imprint: Springer,2019.1 online resource (70 pages)SpringerBriefs in Applied Sciences and Technology,2191-530X981-13-2639-8 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.SpringerBriefs in Applied Sciences and Technology,2191-530XElectrical engineeringArtificial intelligenceEngineering economicsEngineering economyCommunications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Engineering Economics, Organization, Logistics, Marketinghttps://scigraph.springernature.com/ontologies/product-market-codes/T22016Electrical engineering.Artificial intelligence.Engineering economics.Engineering economy.Communications Engineering, Networks.Artificial Intelligence.Engineering Economics, Organization, Logistics, Marketing.658.0563Azizi Aydinauthttp://id.loc.gov/vocabulary/relators/aut860939BOOK9910350312803321Applications of Artificial Intelligence Techniques in Industry 4.01921309UNINA