Download or read book 2020 International Conference on Emerging Trends in Information Technology and Engineering ic ETITE written by IEEE Staff and published by . This book was released on 2020-02-24 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ic ETITE 20 expresses its concern towards the upgrading of research in Information Technology and Engineering It motivates to provide a worldwide platform to researchers far and widespread by exploring their innovations in the field of science and technology The mission is to promote and improve the research and development related to the topics of the conference The essential objective of the conference is to assist the researchers in discovering the global linkage for future joint efforts in their academic outlook

Download or read book Learning Based Control written by Zhong-Ping Jiang and published by Now Publishers. This book was released on 2020-12-07 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent success of Reinforcement Learning and related methods can be attributed to several key factors. First, it is driven by reward signals obtained through the interaction with the environment. Second, it is closely related to the human learning behavior. Third, it has a solid mathematical foundation. Nonetheless, conventional Reinforcement Learning theory exhibits some shortcomings particularly in a continuous environment or in considering the stability and robustness of the controlled process. In this monograph, the authors build on Reinforcement Learning to present a learning-based approach for controlling dynamical systems from real-time data and review some major developments in this relatively young field. In doing so the authors develop a framework for learning-based control theory that shows how to learn directly suboptimal controllers from input-output data. There are three main challenges on the development of learning-based control. First, there is a need to generalize existing recursive methods. Second, as a fundamental difference between learning-based control and Reinforcement Learning, stability and robustness are important issues that must be addressed for the safety-critical engineering systems such as self-driving cars. Third, data efficiency of Reinforcement Learning algorithms need be addressed for safety-critical engineering systems. This monograph provides the reader with an accessible primer on a new direction in control theory still in its infancy, namely Learning-Based Control Theory, that is closely tied to the literature of safe Reinforcement Learning and Adaptive Dynamic Programming.

Download or read book 2017 IEEE 2nd International Conference on Big Data Analysis ICBDA written by IEEE Staff and published by . This book was released on 2017-03-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data overall architecture consists of three layers data storage, data processing and data analysis Data storage layer stores complex type and mass data, data processing layer realizes real time processing of massive data, and only through data analysis layer, smart, in depth and valuable information are got When talking about big data, it comes to the first is 4V characteristics of big data, namely Volumes, Variety, Velocity, Veracity Big data processing key technology generally includes data acquisition, data preprocessing, data storage and data management, data analysis and mining, big show and application (big data retrieval, data visualization, big data applications, data security, etc ) In recent years, Big Data has become a new ubiquitous term Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately society itself 2017 2nd IEEE International Conference on Big Data Analysis (ICBDA 2017) provides a leading forum for diss

Download or read book Efficient Processing of Deep Neural Networks written by Vivienne Sze and published by Springer Nature. This book was released on 2022-05-31 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.

Download or read book 2017 IEEE 12th International Conference on ASIC ASICON written by IEEE Staff and published by . This book was released on 2017-10-25 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Process & Device Technologies 1 VLSI Design & Circuits 2 Analog, Mixed Signal and RF Circuits 3 Application Specific SOCs 4 Circuits and Systems for Wireless Communications 5 Testing, Reliability, Fault Tolerance 6 Advanced Memory 7 FPGA 8 Circuits Simulation, Synthesis, Varification and Physical Design 9 CAD for System, DFM & Testing 10 MEMS Techniques 11 Nanoelectronics and Gigascale Systems 12 New Devices Hetrojunction Devices, Fin FET, CNT MTJ Devices, 3D Integration, etc 13 Advanced Interconnection Technology, High K Metal gate technology and other VLSI New Processing, New technologies 14 VLSI application for energy generation, conservation and control 15 Processing, Devices Modeling & Simulation 16 Other VLSI Devices and Design related topics

Download or read book Cybernetics Cognition and Machine Learning Applications written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2021-03-30 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.

Download or read book Static and Dynamic Neural Networks written by Madan Gupta and published by John Wiley & Sons. This book was released on 2004-04-05 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuronale Netze haben sich in vielen Bereichen der Informatik und künstlichen Intelligenz, der Robotik, Prozeßsteuerung und Entscheidungsfindung bewährt. Um solche Netze für immer komplexere Aufgaben entwickeln zu können, benötigen Sie solide Kenntnisse der Theorie statischer und dynamischer neuronaler Netze. Aneignen können Sie sie sich mit diesem Lehrbuch! Alle theoretischen Konzepte sind in anschaulicher Weise mit praktischen Anwendungen verknüpft. Am Ende jedes Kapitels können Sie Ihren Wissensstand anhand von Übungsaufgaben überprüfen.

Download or read book 1993 IEEE International Conference on Neural Networks San Francisco California March 28 April 1 1993 written by and published by . This book was released on 1993 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Intelligent Systems written by Bogdan M. Wilamowski and published by CRC Press. This book was released on 2018-10-03 with total page 617 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Industrial Electronics Handbook, Second Edition combines traditional and newer, more specialized knowledge that will help industrial electronics engineers develop practical solutions for the design and implementation of high-power applications. Embracing the broad technological scope of the field, this collection explores fundamental areas, including analog and digital circuits, electronics, electromagnetic machines, signal processing, and industrial control and communications systems. It also facilitates the use of intelligent systems—such as neural networks, fuzzy systems, and evolutionary methods—in terms of a hierarchical structure that makes factory control and supervision more efficient by addressing the needs of all production components. Enhancing its value, this fully updated collection presents research and global trends as published in the IEEE Transactions on Industrial Electronics Journal, one of the largest and most respected publications in the field. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made substantial contributions to the solution of very complex problems. As a result, the field of computational intelligence has branched out in several directions. For instance, artificial neural networks can learn how to classify patterns, such as images or sequences of events, and effectively model complex nonlinear systems. Simple and easy to implement, fuzzy systems can be applied to successful modeling and system control. Illustrating how these and other tools help engineers model nonlinear system behavior, determine and evaluate system parameters, and ensure overall system control, Intelligent Systems: Addresses various aspects of neural networks and fuzzy systems Focuses on system optimization, covering new techniques such as evolutionary methods, swarm, and ant colony optimizations Discusses several applications that deal with methods of computational intelligence Other volumes in the set: Fundamentals of Industrial Electronics Power Electronics and Motor Drives Control and Mechatronics Industrial Communication Systems

Download or read book Dynamic Neural Networks for Robot Systems Data Driven and Model Based Applications written by Long Jin and published by Frontiers Media SA. This book was released on 2024-07-24 with total page 301 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural network control has been a research hotspot in academic fields due to the strong ability of computation. One of its wildly applied fields is robotics. In recent years, plenty of researchers have devised different types of dynamic neural network (DNN) to address complex control issues in robotics fields in reality. Redundant manipulators are no doubt indispensable devices in industrial production. There are various works on the redundancy resolution of redundant manipulators in performing a given task with the manipulator model information known. However, it becomes knotty for researchers to precisely control redundant manipulators with unknown model to complete a cyclic-motion generation CMG task, to some extent. It is worthwhile to investigate the data-driven scheme and the corresponding novel dynamic neural network (DNN), which exploits learning and control simultaneously. Therefore, it is of great significance to further research the special control features and solve challenging issues to improve control performance from several perspectives, such as accuracy, robustness, and solving speed.

Download or read book IEEE First International Conference on Neural Networks Sheraton Harbor Island East San Diego California June 21 24 1987 written by Maureen Caudill and published by . This book was released on 1987 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Neural Information Processing written by Haiqin Yang and published by Springer. This book was released on 2020-11-19 with total page 844 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.* For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis. * The conference was held virtually due to the COVID-19 pandemic.

Download or read book Hybrid Intelligent Systems written by Larry R. Medsker and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hybrid Intelligent Systems summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic, genetic algorithms, case-based reasoning, neural networks and expert systems, reviewing the status and significance of research into their integration. Engineering and scientific examples and case studies are used to illustrate principles and application development techniques. The reader will gain a clear idea of the current status of hybrid intelligent systems and discover how to choose and develop appropriate applications. The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting 50-page reference section of the book is invaluable. The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. Each subsequent chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples and case studies. Four chapters contain detailed case studies of working hybrid systems. The book enables the reader to: Describe the important concepts, strengths and limitations of each technology; Recognize and analyze potential problems with the application of hybrid systems; Choose appropriate hybrid intelligent solutions; Understand how applications are designed with any of the approaches covered; Choose appropriate commercial development shells or tools. An invaluable reference source for those who wish to apply intelligent systems techniques to their own problems.

Download or read book Algorithms and Architectures written by Cornelius T. Leondes and published by Elsevier. This book was released on 1998-02-09 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems. A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering. - Radial Basis Function networks - The Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks - Weight initialization - Fast and efficient variants of Hamming and Hopfield neural networks - Discrete time synchronous multilevel neural systems with reduced VLSI demands - Probabilistic design techniques - Time-based techniques - Techniques for reducing physical realization requirements - Applications to finite constraint problems - Practical realization methods for Hebbian type associative memory systems - Parallel self-organizing hierarchical neural network systems - Dynamics of networks of biological neurons for utilization in computational neuroscience

Download or read book Advances in Neural Networks ISNN 2005 written by Jun Wang and published by Springer Science & Business Media. This book was released on 2005-05-17 with total page 1123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its sister volumes constitute the proceedings of the 2nd International Symposium on Neural Networks (ISNN 2005). ISNN 2005 was held in the beautiful mountain city Chongqing by the upper Yangtze River in southwestern China during May 30–June 1, 2005, as a sequel of ISNN 2004 successfully held in Dalian, China.

Download or read book 2018 24th International Conference on Pattern Recognition ICPR written by IEEE Staff and published by . This book was released on 2018-08-20 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

Download or read book Neural Networks And Systolic Array Design written by Sankar Kumar Pal and published by World Scientific. This book was released on 2002-06-27 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks (NNs) and systolic arrays (SAs) have many similar features. This volume describes, in a unified way, the basic concepts, theories and characteristic features of integrating or formulating different facets of NNs and SAs, as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications. The book will be useful to graduate students and researchers in many related areas, not only as a reference book but also as a textbook for some parts of the curriculum. It will also benefit researchers and practitioners in industry and R&D laboratories who are working in the fields of system design, VLSI, parallel processing, neural networks, and vision.