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Intelligent Systems Modeling And Simulation Ii Machine Learning Neural Networks Efficient Numerical Algorithm And Statistical Methods Samsul Ariffin Abdul Karim

  • SKU: BELL-46591626
Intelligent Systems Modeling And Simulation Ii Machine Learning Neural Networks Efficient Numerical Algorithm And Statistical Methods Samsul Ariffin Abdul Karim
$ 31.00 $ 45.00 (-31%)

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Intelligent Systems Modeling And Simulation Ii Machine Learning Neural Networks Efficient Numerical Algorithm And Statistical Methods Samsul Ariffin Abdul Karim instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 16.56 MB
Pages: 686
Author: Samsul Ariffin Abdul Karim
ISBN: 9783031040276, 3031040279
Language: English
Year: 2022

Product desciption

Intelligent Systems Modeling And Simulation Ii Machine Learning Neural Networks Efficient Numerical Algorithm And Statistical Methods Samsul Ariffin Abdul Karim by Samsul Ariffin Abdul Karim 9783031040276, 3031040279 instant download after payment.

This 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.

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