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Author: Jie Zhang Publisher: ISBN: 9783725816538 Category : Technology & Engineering Languages : en Pages : 0
Book Description
Computational intelligence (CI) techniques have developed very fast during the past two decades with many new methods emerging. Novel CI techniques, such as deep learning, convolutional neural networks, deep belief networks, long short-term memory networks, and reinforcement learning, have been successfully applied to solve many complicated problems ranging from image processing to natural language processing. These novel CI techniques have also been applied to the process systems engineering areas with many successful applications reported, such as data-driven modeling of nonlinear processes, inferential estimation and soft sensors, intelligent process monitoring, and process optimization based on CI techniques. This reprint contains 17 papers from a recent Special Issue of Processes on Neural Networks, Fuzzy Systems and Other Computational Intelligence Techniques for Advanced Process Control.
Author: Jie Zhang Publisher: ISBN: 9783725816538 Category : Technology & Engineering Languages : en Pages : 0
Book Description
Computational intelligence (CI) techniques have developed very fast during the past two decades with many new methods emerging. Novel CI techniques, such as deep learning, convolutional neural networks, deep belief networks, long short-term memory networks, and reinforcement learning, have been successfully applied to solve many complicated problems ranging from image processing to natural language processing. These novel CI techniques have also been applied to the process systems engineering areas with many successful applications reported, such as data-driven modeling of nonlinear processes, inferential estimation and soft sensors, intelligent process monitoring, and process optimization based on CI techniques. This reprint contains 17 papers from a recent Special Issue of Processes on Neural Networks, Fuzzy Systems and Other Computational Intelligence Techniques for Advanced Process Control.
Author: Oscar Castillo Publisher: Springer Nature ISBN: 3030354458 Category : Technology & Engineering Languages : en Pages : 792
Book Description
This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.
Author: Lakhmi C. Jain Publisher: CRC Press ISBN: 1000722945 Category : Computers Languages : en Pages : 366
Book Description
Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. These specific applications include: direct frequency converters electro-hydraulic systems motor control toaster control speech recognition vehicle routing fault diagnosis Asynchronous Transfer Mode (ATM) communications networks telephones for hard-of-hearing people control of gas turbine aero-engines telecommunications systems design Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications.
Author: Plamen Parvanov Angelov Publisher: World Scientific ISBN: 9814675024 Category : Computers Languages : en Pages : 964
Book Description
With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines, have been brought forth to process complex human problems in a wide scope of areas — from social sciences, economics and biology, medicine and social networks, to cyber security.The Handbook of Computational Intelligence (in two volumes) prompts readers to look at these problems from a non-traditional angle. It takes a step by step approach, supported by case studies, to explore the issues that have arisen in the process. The Handbook covers many classic paradigms, as well as recent achievements and future promising developments to solve some of these very complex problems. Volume one explores the subjects of fuzzy logic and systems, artificial neural networks, and learning systems. Volume two delves into evolutionary computation, hybrid systems, as well as the applications of computational intelligence in decision making, the process industry, robotics, and autonomous systems.This work is a 'one-stop-shop' for beginners, as well as an inspirational source for more advanced researchers. It is a useful resource for lecturers and learners alike.
Author: Maria Carmo Nicoletti Publisher: Springer ISBN: 3642018882 Category : Technology & Engineering Languages : en Pages : 349
Book Description
Computational Intelligence (CI) and Bioprocess are well-established research areas which have much to offer each other. Under the perspective of the CI area, Biop- cess can be considered a vast application area with a growing number of complex and challenging tasks to be dealt with, whose solutions can contribute to boosting the development of new intelligent techniques as well as to help the refinement and s- cialization of many of the already existing techniques. Under the perspective of the Bioprocess area, CI can be considered a useful repertoire of theories, methods and techniques that can contribute and offer interesting alternative approaches for solving many of its problems, particularly those hard to solve using conventional techniques. Although throughout the past years CI and Bioprocess areas have accumulated substantial specific knowledge and progress has been quick and with a high degree of success, we believe there is still a long way to go in order to use the potentialities of the available CI techniques and knowledge at their full extent, as tools for supporting problem solving in bioprocesses. One of the reasons is the fact that both areas have progressed steadily and have been continuously accumulating and refining specific knowledge; another reason is the high level of technical expertise demanded by each of them. The acquisition of technical skills, experience and good insights in either of the two areas is very demanding and a hard task to be accomplished by any professional.
Author: Oscar Castillo Publisher: Springer Nature ISBN: 3030687767 Category : Technology & Engineering Languages : en Pages : 383
Book Description
We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as, intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There also some papers that presents theory and practice of meta-heuristics in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.
Author: P. Albertos Pérez Publisher: Pergamon ISBN: Category : Computers Languages : en Pages : 210
Book Description
This Proceedings contains the papers presented at the first IFAC Workshop on Advanced Fuzzy-Neural Control , held at Valencia, Spain, on 15-16 October 2001. This is the first IFAC technical meeting specifically devoted to fuzzy and neural control. The use of artificial intelligence techniques has been expanded to many engineering areas. Fuzzy systems, neural networks, genetic algorithms and, in general, soft computing techniques are regarded as alternatives for the solution of complex problems involving non-linear systems, optimisation and/or dealing with approximate knowledge. Fuzzy logic controllers are undoubtedly one of the most successful applications of fuzzy logic theory. The issues covered in the Proceedings include: Stability, robustness and adaptation Learning and local models Structures Design methodologies Heuristics vs. model based design Applications in process control Applications in robotics In addition to the papers, this Proceedings includes a novel section which summarises ideas and conclusions on fuzzy logic controllers from the experts attending the IFAC Workshop.
Author: Oscar Castillo Publisher: Springer Science & Business Media ISBN: 3642289568 Category : Technology & Engineering Languages : en Pages : 93
Book Description
This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hybrid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. This book can also be used as a reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. We consider that this book can also be used to get novel ideas for new lines of re-search, or to continue the lines of research proposed by the authors.
Author: Patricia Melin Publisher: Springer ISBN: 3319177478 Category : Technology & Engineering Languages : en Pages : 612
Book Description
This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques.
Author: Jie Zhang
Author: Jie Zhang
Author: Oscar Castillo
Author: Lakhmi C. Jain
Author: Plamen Parvanov Angelov
Author: Maria Carmo Nicoletti
Author: Oscar Castillo
Author: Oscar Castillo
Author: P. Albertos Pérez
Author: Oscar Castillo
Author: Patricia Melin