Intelligent Systems Modeling and Simulation III

Intelligent Systems Modeling and Simulation III
Author :
Publisher : Springer Nature
Total Pages : 522
Release :
ISBN-10 : 9783031673177
ISBN-13 : 3031673174
Rating : 4/5 (77 Downloads)

Book Synopsis Intelligent Systems Modeling and Simulation III by : Samsul Ariffin Abdul Karim

Download or read book Intelligent Systems Modeling and Simulation III written by Samsul Ariffin Abdul Karim and published by Springer Nature. This book was released on with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Towards Intelligent Systems Modeling and Simulation

Towards Intelligent Systems Modeling and Simulation
Author :
Publisher : Springer Nature
Total Pages : 439
Release :
ISBN-10 : 9783030796068
ISBN-13 : 303079606X
Rating : 4/5 (68 Downloads)

Book Synopsis Towards Intelligent Systems Modeling and Simulation by : Samsul Ariffin Abdul Karim

Download or read book Towards Intelligent Systems Modeling and Simulation written by Samsul Ariffin Abdul Karim and published by Springer Nature. This book was released on 2021-09-17 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book creates the emergence of disruptive technologies that have led to a significant change in the role of mathematics and statistics for problem solving, with the use of sophisticated software and hardware in solving complex systems and process. In the era of digital technology, mathematics and statistics need to be highly relevant to be able to cater for the needs of IR4.0 such as big data analytics, simulation, autonomous system, and cloud computing. Motivated by this development, a total of 26 chapters are contributed by respectable experts for this book. The main scope of the book is to conduct a new system of modeling and simulations on solving differential equations, nonlinear equations, energy, epidemiology, and risk assessment. This book is of interest for postgraduate students, researchers as well as other scientists who are working in numerical modeling and simulations based on efficient mathematical and statistical techniques.

Intelligent Systems Modeling and Simulation II

Intelligent Systems Modeling and Simulation II
Author :
Publisher : Springer Nature
Total Pages : 688
Release :
ISBN-10 : 9783031040283
ISBN-13 : 3031040287
Rating : 4/5 (83 Downloads)

Book Synopsis Intelligent Systems Modeling and Simulation II by : Samsul Ariffin Abdul Karim

Download or read book Intelligent Systems Modeling and Simulation II written by Samsul Ariffin Abdul Karim and published by Springer Nature. This book was released on 2022-10-12 with total page 688 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advances in Intelligent Systems and Computing III

Advances in Intelligent Systems and Computing III
Author :
Publisher : Springer
Total Pages : 610
Release :
ISBN-10 : 9783030010690
ISBN-13 : 3030010694
Rating : 4/5 (90 Downloads)

Book Synopsis Advances in Intelligent Systems and Computing III by : Natalia Shakhovska

Download or read book Advances in Intelligent Systems and Computing III written by Natalia Shakhovska and published by Springer. This book was released on 2018-11-19 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issues in big data and cloud computing, computation linguistics, and cyber-physical systems. It also reports on data mining and knowledge extraction technologies, as well as central issues in intelligent information management. Written by active researchers, the respective chapters are based on papers presented at the International Conference on Computer Science and Information Technologies (CSIT 2018), held on September 11–14, 2018, in Lviv, Ukraine, and jointly organized by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.

Intelligent Systems

Intelligent Systems
Author :
Publisher : CRC Press
Total Pages : 527
Release :
ISBN-10 : 9781351835404
ISBN-13 : 1351835408
Rating : 4/5 (04 Downloads)

Book Synopsis Intelligent Systems by : Yung C. Shin

Download or read book Intelligent Systems written by Yung C. Shin and published by CRC Press. This book was released on 2017-12-19 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a thorough introduction to the field of soft computing techniques, Intelligent Systems: Modeling, Optimization, and Control covers every major technique in artificial intelligence in a clear and practical style. This book highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. The book demonstrates concepts through simulation examples and practical experimental results. Case studies are also presented from each field to facilitate understanding.

Smart Modeling and Simulation for Complex Systems

Smart Modeling and Simulation for Complex Systems
Author :
Publisher : Springer
Total Pages : 147
Release :
ISBN-10 : 9784431552093
ISBN-13 : 443155209X
Rating : 4/5 (93 Downloads)

Book Synopsis Smart Modeling and Simulation for Complex Systems by : Quan Bai

Download or read book Smart Modeling and Simulation for Complex Systems written by Quan Bai and published by Springer. This book was released on 2015-01-10 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide a description of these new Artificial Intelligence technologies and approaches to the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field such as the platforms and/or the software tools for smart modeling and simulating complex systems. These tasks are difficult to accomplish using traditional computational approaches due to the complex relationships of components and distributed features of resources, as well as the dynamic work environments. In order to effectively model the complex systems, intelligent technologies such as multi-agent systems and smart grids are employed to model and simulate the complex systems in the areas of ecosystem, social and economic organization, web-based grid service, transportation systems, power systems and evacuation systems.

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
Author :
Publisher : Springer Science & Business Media
Total Pages : 320
Release :
ISBN-10 : 9783642045134
ISBN-13 : 3642045138
Rating : 4/5 (34 Downloads)

Book Synopsis Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control by : Oscar Castillo

Download or read book Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control written by Oscar Castillo and published by Springer Science & Business Media. This book was released on 2009-10-09 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al.