Intelligent Systems Modeling and Simulation II

Machine Learning, Neural Networks, Efficient Numerical Algorithm and Statistical Methods de

Éditeur :

Springer


Collection :

Studies in Systems, Decision and Control

Paru le : 2022-10-12

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Description
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.
Pages
695 pages
Collection
Studies in Systems, Decision and Control
Parution
2022-10-12
Marque
Springer
EAN papier
9783031040276
EAN PDF
9783031040283

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
69
Taille du fichier
17193 Ko
Prix
210,99 €
EAN EPUB
9783031040283

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
69
Taille du fichier
94607 Ko
Prix
210,99 €