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020 _a9783031040283
024 7 _a10.1007/978-3-031-04028-3
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aIntelligent Systems Modeling and Simulation II
_bMachine Learning, Neural Networks, Efficient Numerical Algorithm and Statistical Methods
_cedited by Samsul Ariffin Abdul Karim
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XXIII, 695 páginas)
_b259 ilustraciones, 233 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aStudies in Systems Decision and Control
_x2198-4190
_v444
505 0 _aIntroduction -- Data-driven Ordinary Differential Equations Model for predicting missing data and forecasting Crude Oil Prices -- Efficient iterative approximation for nonlinear porous medium equation with drainage model -- The Performance of Logistic Regression and Discriminant Analysis in Spam E-mail Classification -- Detecting Structural Breaks and Outliers for Volatility Data via Impulse Indicator Saturation -- Index.
520 _aThis book develops a new system of modeling and simulations based on intelligence system. As we are directly moving from Third Industrial Revolution (IR3.0) to Fourth Industrial Revolution (IR4.0), there are many emergence techniques and algorithm that appear in many sciences and engineering branches. Nowadays, most industries are using IR4.0 in their product development as well as to refine their products. These include simulation on oil rig drilling, big data analytics on consumer analytics, fastest algorithm for large-scale numerical simulations and many more. These will save millions of dollar in the operating costs. Without any doubt, mathematics, statistics and computing are well blended to form an intelligent system for simulation and modeling. Motivated by this rapid development, in this book, a total of 41 chapters are contributed by the respective experts. The main scope of the book is to develop a new system of modeling and simulations based on machine learning, neural networks, efficient numerical algorithm and statistical methods. This book is highly suitable for postgraduate students, researchers as well as scientists that have interest in intelligent numerical modeling and simulations.
700 1 _aAbdul Karim, Samsul Ariffin
_eeditor literario
_0(orcid)0000-0001-6518-6705
_1https://orcid.org/0000-0001-6518-6705
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783031040276
776 0 8 _iPrinted edition:
_z9783031040290
776 0 8 _iPrinted edition:
_z9783031040306
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-04028-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Robotics_2022
999 _c394158
_d394158