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Soft Computing And Fractal Theory For Intelligent Manufacturing
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Book Synopsis Soft Computing and Fractal Theory for Intelligent Manufacturing by : Oscar Castillo
Download or read book Soft Computing and Fractal Theory for Intelligent Manufacturing written by Oscar Castillo and published by Physica. This book was released on 2012-08-11 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: We describe in this book, new methods for intelligent manufacturing using soft computing techniques and fractal theory. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems. Fractal theory provides us with the mathematical tools to understand the geometrical complexity of natural objects and can be used for identification and modeling purposes. Combining SC techniques with fractal theory, we can take advantage of the "intelligence" provided by the computer methods and also take advantage of the descriptive power of the fractal mathematical tools. Industrial manufacturing systems can be considered as non-linear dynamical systems, and as a consequence can have highly complex dynamic behaviors. For this reason, the need for computational intelligence in these manufacturing systems has now been well recognized. We consider in this book the concept of "intelligent manufacturing" as the application of soft computing techniques and fractal theory for achieving the goals of manufacturing, which are production planning and control, monitoring and diagnosis of faults, and automated quality control. As a prelude, we provide a brief overview of the existing methodologies in Soft Computing. We then describe our own approach in dealing with the problems in achieving intelligent manufacturing. Our particular point of view is that to really achieve intelligent manufacturing in real-world applications we need to use SC techniques and fractal theory.
Book Synopsis Soft Computing and Fractal Theory for Intelligent Manufacturing by : Oscar Castillo
Download or read book Soft Computing and Fractal Theory for Intelligent Manufacturing written by Oscar Castillo and published by . This book was released on 2003-01-22 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Soft Computing in Smart Manufacturing by : Tatjana Sibalija
Download or read book Soft Computing in Smart Manufacturing written by Tatjana Sibalija and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-12-06 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contributes to development and application of the soft computing systems, including links to hardware, software and enterprise systems, in resolving modern manufacturing issues in complex, highly dynamic and globalized industrial circumstances. It embraces heterogeneous complementary aspects, such as control, monitoring and modeling of different manufacturing tasks, including intelligent robotic systems and processes, addressed by various machine learning and fuzzy techniques; modeling and parametric optimization of advanced conventional and non-conventional, eco-friendly manufacturing processes by using machine learning and evolutionary computing techniques; cybersecurity framework for Internet of Things-based systems addressing trustworthiness and resilience in machine-to-machine and human-machine collaboration; static and dynamic digital twins integration and synchronization in a smart factory environment; STEP-NC technology for a smart machine vision system, and integration of Open CNC with Service-Oriented Architecture for STEP-NC monitoring system in a smart manufacturing. Areas of interest include but are not limited to applications of soft computing to address the following: dynamic process/system modeling and simulation, dynamic process/system parametric optimization, dynamic planning and scheduling, smart, predictive maintenance, intelligent and autonomous systems, improved machine cognition, effective digital twins integration, human-machine collaboration, robots, and cobots.
Book Synopsis Soft Computing in Smart Manufacturing by : Tatjana Sibalija
Download or read book Soft Computing in Smart Manufacturing written by Tatjana Sibalija and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-12-06 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contributes to development and application of the soft computing systems, including links to hardware, software and enterprise systems, in resolving modern manufacturing issues in complex, highly dynamic and globalized industrial circumstances. It embraces heterogeneous complementary aspects, such as control, monitoring and modeling of different manufacturing tasks, including intelligent robotic systems and processes, addressed by various machine learning and fuzzy techniques; modeling and parametric optimization of advanced conventional and non-conventional, eco-friendly manufacturing processes by using machine learning and evolutionary computing techniques; cybersecurity framework for Internet of Things-based systems addressing trustworthiness and resilience in machine-to-machine and human-machine collaboration; static and dynamic digital twins integration and synchronization in a smart factory environment; STEP-NC technology for a smart machine vision system, and integration of Open CNC with Service-Oriented Architecture for STEP-NC monitoring system in a smart manufacturing. Areas of interest include but are not limited to applications of soft computing to address the following: dynamic process/system modeling and simulation, dynamic process/system parametric optimization, dynamic planning and scheduling, smart, predictive maintenance, intelligent and autonomous systems, improved machine cognition, effective digital twins integration, human-machine collaboration, robots, and cobots.
Book Synopsis Analysis and Design of Intelligent Systems Using Soft Computing Techniques by : Patricia Melin
Download or read book Analysis and Design of Intelligent Systems Using Soft Computing Techniques written by Patricia Melin and published by Springer Science & Business Media. This book was released on 2007-09-20 with total page 855 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.
Book Synopsis Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing by : Patricia Melin
Download or read book Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing written by Patricia Melin and published by Springer Science & Business Media. This book was released on 2005-03-08 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.
Book Synopsis Type-2 Fuzzy Logic: Theory and Applications by : Oscar Castillo
Download or read book Type-2 Fuzzy Logic: Theory and Applications written by Oscar Castillo and published by Springer Science & Business Media. This book was released on 2008-02-20 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The authors extend the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. This book is intended to be a major reference tool and can be used as a textbook.
Book Synopsis Intelligent Systems for Information Processing: From Representation to Applications by : B. Bouchon-Meunier
Download or read book Intelligent Systems for Information Processing: From Representation to Applications written by B. Bouchon-Meunier and published by Elsevier. This book was released on 2003-11-07 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed. In particular, attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. Various methodologies to manage such information are discussed. Among these are the probabilistic, possibilistic, fuzzy, logical, evidential and network-based frameworks. One purpose of the book is not to consider these methodologies separately, but rather to consider how they can be used cooperatively to better represent the multiplicity of modes of information. Topics in the book include representation of imperfect knowledge, fundamental issues in uncertainty, reasoning, information retrieval, learning and mining, as well as various applications. Key Features: • Tools for construction of intelligent systems • Contributions by world leading experts • Fundamental issues and applications • New technologies for web searching • Methods for modeling uncertain information • Future directions in web technologies • Transversal to methods and domains
Book Synopsis Applied Computational Intelligence by : Da Ruan
Download or read book Applied Computational Intelligence written by Da Ruan and published by World Scientific. This book was released on 2004 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: - Investigation of new developments and technical limits on applied computational intelligence - Demonstration of added value of applied computational intelligence - Presentation of direct and potential real world applications of applied computational intelligence
Book Synopsis Modelling, Simulation and Control of Non-linear Dynamical Systems by : Patricia Melin
Download or read book Modelling, Simulation and Control of Non-linear Dynamical Systems written by Patricia Melin and published by CRC Press. This book was released on 2001-10-25 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la
Download or read book Soft Computing written by Pradip Debnath and published by CRC Press. This book was released on 2023-02-28 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores soft computing techniques in a systematic manner starting from their initial stage to recent developments in this area. The book presents a survey of the existing knowledge and the current state-of-the-art development through cutting-edge original new contributions from the researchers. Soft Computing: Recent Advances and Applications in Engineering and Mathematical Sciences presents a survey of the existing knowledge and the current state-of-the-art development through cutting-edge original new contributions from the researchers. As suggested by the title, this book particularly focuses on the recent advances and applications of soft computing techniques in engineering and mathematical sciences. Chapter 1 describes the contribution of soft computing techniques towards a new paradigm shift. The subsequent chapters present a systematic application of fuzzy logic in mathematical sciences and decision-making. New research directions are also provided at the end of each chapter. The application of soft computing in health sciences and in the modeling of epidemics including the effects of vaccination are also examined. Sustainability of green product development, optimum design of 3D steel frame, digitalization investment analysis in the maritime industry, forecasting return rates of individual pension funds are among some of the topics where engineering and industrial applications of soft computing have been studied in the book. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics. This book is meant for graduate students, faculty, and researchers who are applying soft computing in engineering and mathematics. New research directions are also provided at the end of each chapter.
Book Synopsis Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation by : Zhou, Zude
Download or read book Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation written by Zhou, Zude and published by IGI Global. This book was released on 2010-03-31 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.
Book Synopsis Applied Analysis, Optimization and Soft Computing by : Tanmoy Som
Download or read book Applied Analysis, Optimization and Soft Computing written by Tanmoy Som and published by Springer Nature. This book was released on 2023-06-10 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains select contributions presented at the International Conference on Nonlinear Applied Analysis and Optimization (ICNAAO-2021), held at the Department of Mathematics Sciences, Indian Institute of Technology (BHU) Varanasi, India, from 21–23 December 2021. The book discusses topics in the areas of nonlinear analysis, fixed point theory, dynamical systems, optimization, fractals, applications to differential/integral equations, signal and image processing, and soft computing, and exposes the young talents with the newer dimensions in these areas with their practical approaches and to tackle the real-life problems in engineering, medical and social sciences. Scientists from the U.S.A., Austria, France, Mexico, Romania, and India have contributed their research. All the submissions are peer reviewed by experts in their fields.
Book Synopsis Applied Decision Support with Soft Computing by : Xinghuo Yu
Download or read book Applied Decision Support with Soft Computing written by Xinghuo Yu and published by Springer. This book was released on 2012-12-06 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing has provided sophisticated methodologies for the development of intelligent decision support systems. Fast advances in soft computing technologies, such as fuzzy logic and systems, artificial neural networks and evolutionary computation, have made available powerful problem representation and modelling paradigms, and learning and optimisation mechanisms for addressing modern decision making issues. This book provides a comprehensive coverage of up-to-date conceptual frameworks in broadly perceived decision support systems and successful applications. Different from other existing books, this volume predominately focuses on applied decision support with soft computing. Areas covered include planning, management finance and administration in both the private and public sectors.
Book Synopsis Intelligent Sensory Evaluation by : Da Ruan
Download or read book Intelligent Sensory Evaluation written by Da Ruan and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's industrial companies, sensory evaluation is widely used in quality inspection of products, in marketing study and in many other fields such as risk evaluation, investment evaluation and safety evaluation. This book collects a number of representative methods on sensory evaluation. The book reports recent research results and provides a state of the art on intelligent techniques-based sensory evaluation in industrial applications. The focus is especially on theoretical/analytical solutions to the problems of real interest in intelligent techniques with applications to engineers and managers of different industrial departments such as production, quality inspection, product design and development and marketing.
Book Synopsis Soft Computing in Measurement and Information Acquisition by : Leon Reznik
Download or read book Soft Computing in Measurement and Information Acquisition written by Leon Reznik and published by Springer. This book was released on 2012-12-06 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume covers the fields of measurement and information acqulSltlon. It contains a collection of papers representing the current research trends in these areas. What are those trends? The first one is the enormous growth in the amount of information and the amazing technologies, which make this information available anywhere and anytime. The second one is a substantial development of methods of the information presentation including, to name just a few, multimedia, virtual environment, computer animation. The third one is the all-time boosting demand for improving the quality of decisions made on the base of this information in various applications ranging from engineering to business. Nowadays information acquisition should not only provide more information but also provide it in such a way as to assure effective and efficient processing of this information. And here comes a relatively new methodology of soft computing. Application of soft computing in measurement and information acquisition is considered in this volume.
Book Synopsis Soft Computing Approaches in Chemistry by : Hugh M. Cartwright
Download or read book Soft Computing Approaches in Chemistry written by Hugh M. Cartwright and published by Springer Science & Business Media. This book was released on 2003-03-11 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together original work from a number of authors who have made significant contributions to the evolution and use of nonstandard computing methods in chemistry and pharmaceutical industry. The contributions to this book cover a wide range of applications of Soft Computing to the chemical domain. Soft Computing applications are able to approximate many different kinds of real-world systems; to tolerate imprecision, partial truth, and uncertainty; and to learn from their environment and generate solutions of low cost, high robustness, and tractability. Presented applications are the optimization of the structure of atom clusters, the design of safe textile materials, real-time monitoring of pollutants in the workplace, quantitative structure-activity relationships, the analysis of Mössbauer spectra, the synthesis of methanol or the use of bioinformatics in the clustering of data within large biochemical databases. With this diverse range of applications, the book appeals to professionals, researchers and developers of software tools for the design of Soft Computing-based systems in chemistry and pharmaceutical industry, and to many others within the computational intelligence community.
