Intelligent Systems Modeling and Simulation III - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Systems Modeling and Simulation III write by Samsul Ariffin Abdul Karim. This book was released on . Intelligent Systems Modeling and Simulation III available in PDF, EPUB and Kindle.
Towards Intelligent Systems Modeling and Simulation
Towards Intelligent Systems Modeling and Simulation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Towards Intelligent Systems Modeling and Simulation write by Samsul Ariffin Abdul Karim. This book was released on 2021-09-17. Towards Intelligent Systems Modeling and Simulation available in PDF, EPUB and Kindle. 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 - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Systems Modeling and Simulation II write by Samsul Ariffin Abdul Karim. This book was released on 2022-10-12. Intelligent Systems Modeling and Simulation II available in PDF, EPUB and Kindle. 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.
Intelligent Systems
Intelligent Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Intelligent Systems write by Yung C. Shin. This book was released on 2017-12-19. Intelligent Systems available in PDF, EPUB and Kindle. 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.
Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control write by Oscar Castillo. This book was released on 2009-10-09. Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control available in PDF, EPUB and Kindle. 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.
