LEADER 03266nam 22005655 450 001 9910484618903321 005 20200701155854.0 010 $a3-030-04903-5 024 7 $a10.1007/978-3-030-04903-4 035 $a(CKB)4100000007223608 035 $a(MiAaPQ)EBC5620173 035 $a(DE-He213)978-3-030-04903-4 035 $z(PPN)258861851 035 $a(PPN)24377043X 035 $a(EXLCZ)994100000007223608 100 $a20181215d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModelling and Optimisation of Laser Assisted Oxygen (LASOX) Cutting: A Soft Computing Based Approach /$fby Sudipto Chaki, Sujit Ghosal 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (ix, 56 pages) 225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3704 311 $a3-030-04902-7 327 $aPreface -- Chapter 1. LASOX Cutting: Principles and Evolution -- Chapter 2. Integrated Soft Computing Based Methodologies for Modelling -- Chapter 3. Modelling and Optimisation of LASOX Cutting of Mild Steel: A Case Study. 330 $aThis book presents the basics of the Laser Assisted Oxygen (LASOX) cutting process, its development, advantages and shortcomings, together with detailed information on the research work carried out to date regarding the modelling and optimization of the process. It introduces two integrated soft computing-based models consisting of Artificial Neural Networks (ANN-GA and ANN SA) for the modelling and optimization of LASOX cutting. It also includes an in-depth discussion on the basic working algorithms of soft computing tools such as Artificial Neural Networks, Genetic Algorithms, Simulated Annealing etc. The book not only provides an approach to optimizing LASOX by means of soft computing-based integrated models, but also illustrates the practical implementation of the proposed models. 410 0$aSpringerBriefs in Computational Intelligence,$x2625-3704 606 $aComputational intelligence 606 $aManufactures 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aManufacturing, Machines, Tools, Processes$3https://scigraph.springernature.com/ontologies/product-market-codes/T22050 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aManufactures. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aManufacturing, Machines, Tools, Processes. 615 24$aArtificial Intelligence. 676 $a671.5 676 $a671.53 700 $aChaki$b Sudipto$4aut$4http://id.loc.gov/vocabulary/relators/aut$01225188 702 $aGhosal$b Sujit$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910484618903321 996 $aModelling and Optimisation of Laser Assisted Oxygen (LASOX) Cutting: A Soft Computing Based Approach$92844748 997 $aUNINA