Intelligent systems modeling and simulation II : machine learning, neural networks, efficient numerical algorithm and statistical methods / Samsul Ariffin Abdul Karim, editor.
2022
QA401
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Online Access
Concurrent users
Unlimited
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Authorized users
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Can lend chapters, not whole ebooks
Details
Title
Intelligent systems modeling and simulation II : machine learning, neural networks, efficient numerical algorithm and statistical methods / Samsul Ariffin Abdul Karim, editor.
ISBN
9783031040283 (electronic bk.)
3031040287 (electronic bk.)
3031040279
9783031040276
3031040287 (electronic bk.)
3031040279
9783031040276
Imprint
Cham, Switzerland : Springer, 2022.
Language
English
Description
1 online resource
Other Standard Identifiers
10.1007/978-3-031-04028-3 doi
Call Number
QA401
Dewey Decimal Classification
511.8
Summary
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.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 20, 2022).
Added Author
Abdul Karim, Samsul Ariffin, editor.
Series
Studies in systems, decision and control ; v. 444. 2198-4190
Available in Other Form
Print version: 9783031040276
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Online Access
Record Appears in
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Table of Contents
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.
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.