Can I read Intelligent Systems Modeling and Simulation II : Machine Learning, Neural Networks, Efficient Numerical Algorithm and Statistical Methods on EtoBox?

Intelligent Systems Modeling and Simulation II : Machine Learning, Neural Networks, Efficient Numerical Algorithm and Statistical Methods by Samsul Ariffin Abdul Karim is a nonfiction available to read on EtoBox.

What is Intelligent Systems Modeling and Simulation II : Machine Learning, Neural Networks, Efficient Numerical Algorithm and Statistical Methods about?

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 modeli

Who reads Intelligent Systems Modeling and Simulation II : Machine Learning, Neural Networks, Efficient Numerical Algorithm and Statistical Methods?

Author

Samsul Ariffin Abdul Karim

Publisher

Springer International Publishing AG

Published

2022

Language

EN

ISBN

9783031040276

Category

nonfiction

Subjects

Computer Science, Education, Engineering