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Intelligent systems modeling and sim...

Abdul Karim, Samsul Ariffin.

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Intelligent systems modeling and simulation II = machine learning, neural networks, efficient numerical algorithm and statistical methods /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Intelligent systems modeling and simulation II/ edited by Samsul Ariffin Abdul Karim.
其他題名:	machine learning, neural networks, efficient numerical algorithm and statistical methods /
其他題名:	Intelligent systems modeling and simulation 2
其他作者:	Abdul Karim, Samsul Ariffin.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xix, 695 p. :ill., digital ;24 cm.
內容註:	Introduction -- 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.
Contained By:	Springer Nature eBook
標題:	Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-031-04028-3
ISBN:	9783031040283

Intelligent systems modeling and simulation II = machine learning, neural networks, efficient numerical algorithm and statistical methods /
Intelligent systems modeling and simulation IImachine learning, neural networks, efficient numerical algorithm and statistical methods /[electronic resource] :Intelligent systems modeling and simulation 2edited by Samsul Ariffin Abdul Karim. - Cham :Springer International Publishing :2022. - xix, 695 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v. 4442198-4190 ;. - Studies in systems, decision and control ;v. 444..

Introduction -- 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.

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.

ISBN: 9783031040283

Standard No.: 10.1007/978-3-031-04028-3doiSubjects--Topical Terms:

522882
Mathematical models.

LC Class. No.: QA401 / .I57 2022

Dewey Class. No.: 511.8

Intelligent systems modeling and simulation II = machine learning, neural networks, efficient numerical algorithm and statistical methods /
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520 $a 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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