Learning Decision Sequences For Repetitive Processes-Selected Algorithms

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ISBN 13 : 9783030883973
Total Pages : 0 pages
Book Rating : 4.8/5 (839 download)

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Book Synopsis Learning Decision Sequences For Repetitive Processes-Selected Algorithms by : Wojciech Rafajłowicz

Download or read book Learning Decision Sequences For Repetitive Processes-Selected Algorithms written by Wojciech Rafajłowicz and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides tools and algorithms for solving a wide class of optimization tasks by learning from their repetitions. A unified framework is provided for learning algorithms that are based on the stochastic gradient (a golden standard in learning), including random simultaneous perturbations and the response surface the methodology. Original algorithms include model-free learning of short decision sequences as well as long sequences-relying on model-supported gradient estimation. Learning is based on whole sequences of a process observation that are either vectors or images. This methodology is applicable to repetitive processes, covering a wide range from (additive) manufacturing to decision making for COVID-19 waves mitigation. A distinctive feature of the algorithms is learning between repetitions-this idea extends the paradigms of iterative learning and run-to-run control. The main ideas can be extended to other decision learning tasks, not included in this book. The text is written in a comprehensible way with the emphasis on a user-friendly presentation of the algorithms, their explanations, and recommendations on how to select them. The book is expected to be of interest to researchers, Ph.D., and graduate students in computer science and engineering, operations research, decision making, and those working on the iterative learning control.

Learning Decision Sequences For Repetitive Processes—Selected Algorithms

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Publisher : Springer Nature
ISBN 13 : 3030883965
Total Pages : 132 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Learning Decision Sequences For Repetitive Processes—Selected Algorithms by : Wojciech Rafajłowicz

Download or read book Learning Decision Sequences For Repetitive Processes—Selected Algorithms written by Wojciech Rafajłowicz and published by Springer Nature. This book was released on 2021-10-25 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides tools and algorithms for solving a wide class of optimization tasks by learning from their repetitions. A unified framework is provided for learning algorithms that are based on the stochastic gradient (a golden standard in learning), including random simultaneous perturbations and the response surface the methodology. Original algorithms include model-free learning of short decision sequences as well as long sequences—relying on model-supported gradient estimation. Learning is based on whole sequences of a process observation that are either vectors or images. This methodology is applicable to repetitive processes, covering a wide range from (additive) manufacturing to decision making for COVID-19 waves mitigation. A distinctive feature of the algorithms is learning between repetitions—this idea extends the paradigms of iterative learning and run-to-run control. The main ideas can be extended to other decision learning tasks, not included in this book. The text is written in a comprehensible way with the emphasis on a user-friendly presentation of the algorithms, their explanations, and recommendations on how to select them. The book is expected to be of interest to researchers, Ph.D., and graduate students in computer science and engineering, operations research, decision making, and those working on the iterative learning control.

Artificial Intelligence and Soft Computing

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Publisher : Springer Nature
ISBN 13 : 3031425057
Total Pages : 609 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Artificial Intelligence and Soft Computing by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski and published by Springer Nature. This book was released on 2023-09-13 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 14125 and 14126 constitutes the refereed conference proceedings of the 22nd International Conference on Artificial Intelligence and Soft Computing, ICAISC 2023, held in Zakopane, Poland, during June 18–22, 2023. The 84 revised full papers presented in these proceedings were carefully reviewed and selected from 175 submissions. The papers are organized in the following topical sections: Part I: Neural Networks and Their Applications; Evolutionary Algorithms and Their Applications; and Artificial Intelligence in Modeling and Simulation. Part II: Computer Vision, Image and Speech Analysis; Various Problems of Artificial Intelligence; Bioinformatics, Biometrics and Medical Applications; and Data Mining and Pateern Classification.

Advanced, Contemporary Control

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Publisher : Springer Nature
ISBN 13 : 3031351738
Total Pages : 463 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Advanced, Contemporary Control by : Marek Pawelczyk

Download or read book Advanced, Contemporary Control written by Marek Pawelczyk and published by Springer Nature. This book was released on 2023-07-15 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the reader to the hottest topics in current control sciences and robotics, as seen by scientists from Poland and other European countries. Volume 2 comprises 42 chapters, which specifically address topics connected to statistical and stochastic methods in control engineering applications, to optimization and quantum computing, to biological, medical, and ecological systems, to new applications of artificial intelligence and machine learning in automated and connected vehicles, to design and control of autonomous marine, robotics, and vehicles systems, and to other modern topics. The contributions were presented during XXI Polish Control Conference, held in Gliwice, Poland, from June 26 to 29, 2023. This book is extremely useful to all persons who want to know the latest trends in automation and robotics.

Sequence Learning

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Publisher : Springer
ISBN 13 : 354044565X
Total Pages : 396 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Sequence Learning by : Ron Sun

Download or read book Sequence Learning written by Ron Sun and published by Springer. This book was released on 2003-06-29 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sequential behavior is essential to intelligence in general and a fundamental part of human activities, ranging from reasoning to language, and from everyday skills to complex problem solving. Sequence learning is an important component of learning in many tasks and application fields: planning, reasoning, robotics natural language processing, speech recognition, adaptive control, time series prediction, financial engineering, DNA sequencing, and so on. This book presents coherently integrated chapters by leading authorities and assesses the state of the art in sequence learning by introducing essential models and algorithms and by examining a variety of applications. The book offers topical sections on sequence clustering and learning with Markov models, sequence prediction and recognition with neural networks, sequence discovery with symbolic methods, sequential decision making, biologically inspired sequence learning models.

AI for People and Business

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492036528
Total Pages : 316 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis AI for People and Business by : Alex Castrounis

Download or read book AI for People and Business written by Alex Castrounis and published by "O'Reilly Media, Inc.". This book was released on 2019-07-05 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: If youâ??re an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. Youâ??ll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis,founder and CEO of Why of AI, Northwestern University Adjunct, advisor, and former IndyCar engineer and data scientist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business. AI is exciting, powerful, and game changingâ??but too many AI initiatives end in failure. With this book, youâ??ll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. Youâ??ll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products. Use the bookâ??s AIPB Framework to conduct end-to-end, goal-driven innovation and value creation with AI Define a goal-aligned AI vision and strategy for stakeholders, including businesses, customers, and users Leverage AI successfully by focusing on concepts such as scientific innovation and AI readiness and maturity Understand the importance of executive leadership for pursuing AI initiatives "A must read for business executives and managers interested in learning about AI and unlocking its benefits. Alex Castrounis has simplified complex topics so that anyone can begin to leverage AI within their organization." - Dan Park, GM & Director, Uber "Alex Castrounis has been at the forefront of helping organizations understand the promise of AI and leverage its benefits, while avoiding the many pitfalls that can derail success. In this essential book, he shares his expertise with the rest of us." - Dean Wampler, Ph.D., VP, Fast Data Engineering at Lightbend

Recent Trends in Artificial Intelligence and IoT

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Publisher : Springer Nature
ISBN 13 : 3031373030
Total Pages : 340 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Recent Trends in Artificial Intelligence and IoT by : Rajesh Kumar Tiwari

Download or read book Recent Trends in Artificial Intelligence and IoT written by Rajesh Kumar Tiwari and published by Springer Nature. This book was released on 2023 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected papers presented at the First International Conference on Artificial Intelligence and Internet of Things, ICAII 2022, held in Jamshedpur, India. ICAII 2022 has been postponed to April 2023. The 23 papers were thoroughly reviewed and selected from the 86 submissions. They are arranged in topical sections on artificial Intelligence, and Internet of Things.

Machine Learning Techniques on Gene Function Prediction

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Publisher : Frontiers Media SA
ISBN 13 : 2889632148
Total Pages : 485 pages
Book Rating : 4.8/5 (896 download)

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Book Synopsis Machine Learning Techniques on Gene Function Prediction by : Quan Zou

Download or read book Machine Learning Techniques on Gene Function Prediction written by Quan Zou and published by Frontiers Media SA. This book was released on 2019-12-04 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Signal and Information Processing, Networking and Computers

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Publisher : Springer Nature
ISBN 13 : 9813341025
Total Pages : 1104 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Signal and Information Processing, Networking and Computers by : Yue Wang

Download or read book Signal and Information Processing, Networking and Computers written by Yue Wang and published by Springer Nature. This book was released on 2020-12-17 with total page 1104 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book collects selected papers from the 7th Conference on Signal and Information Processing, Networking and Computers held in Rizhao, China, on September 21-23, 2020. The 7th International Conference on Signal and Information Processing, Networking and Computers (ICSINC) was held in Rizhao, China, on September 21-23, 2020.

Expert Systems

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Publisher : Elsevier
ISBN 13 : 0080531458
Total Pages : 2125 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Expert Systems by : Cornelius T. Leondes

Download or read book Expert Systems written by Cornelius T. Leondes and published by Elsevier. This book was released on 2001-09-26 with total page 2125 pages. Available in PDF, EPUB and Kindle. Book excerpt: This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems. Expert systems techniques and applications are presented for a diverse array of topics including Experimental design and decision support The integration of machine learning with knowledge acquisition for the design of expert systems Process planning in design and manufacturing systems and process control applications Knowledge discovery in large-scale knowledge bases Robotic systems Geograhphic information systems Image analysis, recognition and interpretation Cellular automata methods for pattern recognition Real-time fault tolerant control systems CAD-based vision systems in pattern matching processes Financial systems Agricultural applications Medical diagnosis

Advances in haptic feedback for neurorobotics applications

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Publisher : Frontiers Media SA
ISBN 13 : 2832522432
Total Pages : 139 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Advances in haptic feedback for neurorobotics applications by : Guanghua Xu

Download or read book Advances in haptic feedback for neurorobotics applications written by Guanghua Xu and published by Frontiers Media SA. This book was released on 2023-05-02 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Swarm Intelligence

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Publisher : Springer
ISBN 13 : 3319118579
Total Pages : 510 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Advances in Swarm Intelligence by : Ying Tan

Download or read book Advances in Swarm Intelligence written by Ying Tan and published by Springer. This book was released on 2014-09-03 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book and its companion volume, LNCS vol. 8794 and 8795 constitute the proceedings of the 5th International Conference on Swarm Intelligence, ICSI 2014, held in Hefei, China in October 2014. The 107 revised full papers presented were carefully reviewed and selected from 198 submissions. The papers are organized in 18 cohesive sections, 3 special sessions and one competitive session covering all major topics of swarm intelligence research and development such as novel swarm-based search methods; novel optimization algorithm; particle swarm optimization; ant colony optimization for travelling salesman problem; artificial bee colony algorithms; artificial immune system; evolutionary algorithms; neural networks and fuzzy methods; hybrid methods; multi-objective optimization; multi-agent systems; evolutionary clustering algorithms; classification methods; GPU-based methods; scheduling and path planning; wireless sensor networks; power system optimization; swarm intelligence in image and video processing; applications of swarm intelligence to management problems; swarm intelligence for real-world application.

Iterative Learning Control

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Publisher : Springer Science & Business Media
ISBN 13 : 1461556295
Total Pages : 384 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Iterative Learning Control by : Zeungnam Bien

Download or read book Iterative Learning Control written by Zeungnam Bien and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Iterative Learning Control (ILC) differs from most existing control methods in the sense that, it exploits every possibility to incorporate past control informa tion, such as tracking errors and control input signals, into the construction of the present control action. There are two phases in Iterative Learning Control: first the long term memory components are used to store past control infor mation, then the stored control information is fused in a certain manner so as to ensure that the system meets control specifications such as convergence, robustness, etc. It is worth pointing out that, those control specifications may not be easily satisfied by other control methods as they require more prior knowledge of the process in the stage of the controller design. ILC requires much less information of the system variations to yield the desired dynamic be haviors. Due to its simplicity and effectiveness, ILC has received considerable attention and applications in many areas for the past one and half decades. Most contributions have been focused on developing new ILC algorithms with property analysis. Since 1992, the research in ILC has progressed by leaps and bounds. On one hand, substantial work has been conducted and reported in the core area of developing and analyzing new ILC algorithms. On the other hand, researchers have realized that integration of ILC with other control techniques may give rise to better controllers that exhibit desired performance which is impossible by any individual approach.

Inventive Communication and Computational Technologies

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Publisher : Springer Nature
ISBN 13 : 9811949603
Total Pages : 940 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Inventive Communication and Computational Technologies by : G. Ranganathan

Download or read book Inventive Communication and Computational Technologies written by G. Ranganathan and published by Springer Nature. This book was released on 2022-11-13 with total page 940 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the Inventive Communication and Computational Technologies Conference (ICICCT 2022), held on May 12–13, 2022, at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of Things, social networks, mobile communications, big data analytics, bio-inspired computing, and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.

Machine Learning and Knowledge Discovery in Databases

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Publisher : Springer Science & Business Media
ISBN 13 : 364215882X
Total Pages : 538 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Machine Learning and Knowledge Discovery in Databases by : José L. Balcázar

Download or read book Machine Learning and Knowledge Discovery in Databases written by José L. Balcázar and published by Springer Science & Business Media. This book was released on 2010-09-13 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2010, held in Barcelona, Spain, in September 2010. The 120 revised full papers presented in three volumes, together with 12 demos (out of 24 submitted demos), were carefully reviewed and selected from 658 paper submissions. In addition, 7 ML and 7 DM papers were distinguished by the program chairs on the basis of their exceptional scientific quality and high impact on the field. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. A topic widely explored from both ML and DM perspectives was graphs, with motivations ranging from molecular chemistry to social networks.

Automation 2022: New Solutions and Technologies for Automation, Robotics and Measurement Techniques

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Publisher : Springer Nature
ISBN 13 : 303103502X
Total Pages : 411 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Automation 2022: New Solutions and Technologies for Automation, Robotics and Measurement Techniques by : Roman Szewczyk

Download or read book Automation 2022: New Solutions and Technologies for Automation, Robotics and Measurement Techniques written by Roman Szewczyk and published by Springer Nature. This book was released on 2022-04-15 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the unique result of discussion among interdisciplinary specialists facing recent industrial and economic challenges. It contains papers authored by both scientists and practitioners focused on an interdisciplinary approach to developing measuring techniques, robotic and mechatronic systems, industrial automation, numerical modelling and simulation, and application of artificial intelligence techniques required by the transformation leading to Industry 4.0. We strongly believe that the solutions and guidelines presented in this book will be useful to both researchers and engineers facing problems associated with developing cyber-physical systems for global development.

Artificial Intelligence for Intrusion Detection Systems

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Publisher : CRC Press
ISBN 13 : 1000967581
Total Pages : 241 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Artificial Intelligence for Intrusion Detection Systems by : Mayank Swarnkar

Download or read book Artificial Intelligence for Intrusion Detection Systems written by Mayank Swarnkar and published by CRC Press. This book was released on 2023-10-11 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is associated with the cybersecurity issues and provides a wide view of the novel cyber attacks and the defense mechanisms, especially AI-based Intrusion Detection Systems (IDS). Features: • A systematic overview of the state-of-the-art IDS • Proper explanation of novel cyber attacks which are much different from classical cyber attacks • Proper and in-depth discussion of AI in the field of cybersecurity • Introduction to design and architecture of novel AI-based IDS with a trans- parent view of real-time implementations • Covers a wide variety of AI-based cyber defense mechanisms, especially in the field of network-based attacks, IoT-based attacks, multimedia attacks, and blockchain attacks. This book serves as a reference book for scientific investigators who need to analyze IDS, as well as researchers developing methodologies in this field. It may also be used as a textbook for a graduate-level course on information security.