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

Samsul Ariffin Abdul Karim

  • 出版商: Springer
  • 出版日期: 2022-10-13
  • 售價: $8,910
  • 貴賓價: 9.5$8,465
  • 語言: 英文
  • 頁數: 640
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031040279
  • ISBN-13: 9783031040276
  • 相關分類: Machine LearningAlgorithms-data-structures
  • 海外代購書籍(需單獨結帳)


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.




Samsul Ariffin Bin Abdul Karim is an Associate Professor with Software Engineering Programme, Faculty of Computing and Informatics, Universiti Malaysia Sabah (UMS), Malaysia. He obtained his PhD in Mathematics from Universiti Sains Malaysia (USM). He is a Professional Technologists registered with Malaysia Board of Technologists (MBOT), No. Perakuan PT21030227. His research interest includes numerical analysis, machine learning, approximation theory, optimization, science, and engineering education as well as wavelets. He has published more than 140 papers in Journals and Conferences including three Edited Conferences Volume and 60 book chapters. He was the recipient of Effective Education Delivery Award and Publication Award (Journal & Conference Paper), UTP Quality Day 2010, 2011 and 2012, respectively. He was Certified WOLFRAM Technology Associate, Mathematica Student Level. He also has published ten books with Springer Publishing including five books with Studies in Systems, Decision and Control (SSDC) series, one book with Taylor and Francis/CRC Press, one book with IntechOpen and one book with UTP Press. Recently he has received Book Publication Award in UTP Quality Day 2020 for book Water Quality Index (WQI) Prediction Using Multiple Linear Fuzzy Regression: Case Study in Perak River, Malaysia, that was published by SpringerBriefs in Water Science and Technology in 2020.


Samsul Ariffin Bin Abdul Karim是馬來西亞沙巴大學(UMS)計算與資訊學院軟體工程課程的副教授。他在馬來西亞理科大學(USM)獲得數學博士學位。他是馬來西亞技術師委員會(MBOT)註冊的專業技術人員,證書號碼為PT21030227。他的研究興趣包括數值分析、機器學習、逼近理論、優化、科學和工程教育以及小波。他在期刊和會議上發表了超過140篇論文,包括三本編輯的會議論文集和60篇專書章節。他曾獲得2010年、2011年和2012年UTP優質日的優秀教育傳遞獎和出版獎(期刊和會議論文)。他是經過認證的WOLFRAM技術聯盟成員,Mathematica學生級別。他還在Springer Publishing出版了十本書,其中包括五本《系統、決策和控制研究》(SSDC)系列書籍,一本由Taylor and Francis/CRC Press出版的書籍,一本由IntechOpen出版的書籍,以及一本由UTP Press出版的書籍。最近,他因在2020年由SpringerBriefs in Water Science and Technology出版的書籍《使用多元線性模糊回歸預測水質指數(WQI):以馬來西亞Perak河為例》而獲得了UTP優質日2020年的書籍出版獎。