Modeling Dynamic Systems For Multi Step Prediction With Recurrent Neural Networks

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Deep Learning in Multi-step Prediction of Chaotic Dynamics

Author : Matteo Sangiorgio
Publisher : Springer Nature
ISBN 13 : 3030944824
Total Pages : 111 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Deep Learning in Multi-step Prediction of Chaotic Dynamics by : Matteo Sangiorgio

Download or read book Deep Learning in Multi-step Prediction of Chaotic Dynamics written by Matteo Sangiorgio and published by Springer Nature. This book was released on 2022-02-14 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book represents the first attempt to systematically deal with the use of deep neural networks to forecast chaotic time series. Differently from most of the current literature, it implements a multi-step approach, i.e., the forecast of an entire interval of future values. This is relevant for many applications, such as model predictive control, that requires predicting the values for the whole receding horizon. Going progressively from deterministic models with different degrees of complexity and chaoticity to noisy systems and then to real-world cases, the book compares the performances of various neural network architectures (feed-forward and recurrent). It also introduces an innovative and powerful approach for training recurrent structures specific for sequence-to-sequence tasks. The book also presents one of the first attempts in the context of environmental time series forecasting of applying transfer-learning techniques such as domain adaptation.

Special Topics in Information Technology

Author : Luigi Piroddi
Publisher : Springer Nature
ISBN 13 : 3030859185
Total Pages : 151 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Special Topics in Information Technology by : Luigi Piroddi

Download or read book Special Topics in Information Technology written by Luigi Piroddi and published by Springer Nature. This book was released on 2022-01-01 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book presents thirteen outstanding doctoral dissertations in Information Technology from the Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy. Information Technology has always been highly interdisciplinary, as many aspects have to be considered in IT systems. The doctoral studies program in IT at Politecnico di Milano emphasizes this interdisciplinary nature, which is becoming more and more important in recent technological advances, in collaborative projects, and in the education of young researchers. Accordingly, the focus of advanced research is on pursuing a rigorous approach to specific research topics starting from a broad background in various areas of Information Technology, especially Computer Science and Engineering, Electronics, Systems and Control, and Telecommunications. Each year, more than 50 PhDs graduate from the program. This book gathers the outcomes of the thirteen best theses defended in 2020-21 and selected for the IT PhD Award. Each of the authors provides a chapter summarizing his/her findings, including an introduction, description of methods, main achievements and future work on the topic. Hence, the book provides a cutting-edge overview of the latest research trends in Information Technology at Politecnico di Milano, presented in an easy-to-read format that will also appeal to non-specialists.

Neural Network Modeling and Identification of Dynamical Systems

Author : Yury Tiumentsev
Publisher : Academic Press
ISBN 13 : 0128154306
Total Pages : 334 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Neural Network Modeling and Identification of Dynamical Systems by : Yury Tiumentsev

Download or read book Neural Network Modeling and Identification of Dynamical Systems written by Yury Tiumentsev and published by Academic Press. This book was released on 2019-05-17 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Network Modeling and Identification of Dynamical Systems presents a new approach on how to obtain the adaptive neural network models for complex systems that are typically found in real-world applications. The book introduces the theoretical knowledge available for the modeled system into the purely empirical black box model, thereby converting the model to the gray box category. This approach significantly reduces the dimension of the resulting model and the required size of the training set. This book offers solutions for identifying controlled dynamical systems, as well as identifying characteristics of such systems, in particular, the aerodynamic characteristics of aircraft. - Covers both types of dynamic neural networks (black box and gray box) including their structure, synthesis and training - Offers application examples of dynamic neural network technologies, primarily related to aircraft - Provides an overview of recent achievements and future needs in this area

Advances in Neural Networks - ISNN 2004

Author : Fuliang Yin
Publisher : Springer
ISBN 13 : 3540286489
Total Pages : 1054 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Advances in Neural Networks - ISNN 2004 by : Fuliang Yin

Download or read book Advances in Neural Networks - ISNN 2004 written by Fuliang Yin and published by Springer. This book was released on 2011-04-07 with total page 1054 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the International Symposium on Neural N- works (ISNN 2004) held in Dalian, Liaoning, China duringAugust 19–21, 2004. ISNN 2004 received over 800 submissions from authors in ?ve continents (Asia, Europe, North America, South America, and Oceania), and 23 countries and regions (mainland China, Hong Kong, Taiwan, South Korea, Japan, Singapore, India, Iran, Israel, Turkey, Hungary, Poland, Germany, France, Belgium, Spain, UK, USA, Canada, Mexico, - nezuela, Chile, andAustralia). Based on reviews, the Program Committee selected 329 high-quality papers for presentation at ISNN 2004 and publication in the proceedings. The papers are organized into many topical sections under 11 major categories (theo- tical analysis; learning and optimization; support vector machines; blind source sepa- tion,independentcomponentanalysis,andprincipalcomponentanalysis;clusteringand classi?cation; robotics and control; telecommunications; signal, image and time series processing; detection, diagnostics, and computer security; biomedical applications; and other applications) covering the whole spectrum of the recent neural network research and development. In addition to the numerous contributed papers, ?ve distinguished scholars were invited to give plenary speeches at ISNN 2004. ISNN 2004 was an inaugural event. It brought together a few hundred researchers, educators,scientists,andpractitionerstothebeautifulcoastalcityDalianinnortheastern China. It provided an international forum for the participants to present new results, to discuss the state of the art, and to exchange information on emerging areas and future trends of neural network research. It also created a nice opportunity for the participants to meet colleagues and make friends who share similar research interests.

Computational Intelligence for Modelling, Control & Automation

Author : Masoud Mohammadian
Publisher : IOS Press
ISBN 13 : 9789051994735
Total Pages : 408 pages
Book Rating : 4.9/5 (947 download)

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Book Synopsis Computational Intelligence for Modelling, Control & Automation by : Masoud Mohammadian

Download or read book Computational Intelligence for Modelling, Control & Automation written by Masoud Mohammadian and published by IOS Press. This book was released on 1999 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reliable and straightforward, this text has helped thousands of students learn to write well. Jean Wyrick's rhetorically organized STEPS TO WRITING WELL WITH ADDITIONAL READINGS is known for its student-friendly tone and the clear way it presents the basics of essay writing in an easy-to-follow progression of useful lessons and activities. Through straightforward advice and thoughtful assignments, the text gives students the practice they need to approach writing well-constructed essays with confidence. With Wyrick's helpful instruction and the book's professional samples by both well-known classic and contemporary writers, STEPS TO WRITING WELL WITH ADDITIONAL READINGS sets students on a solid path to writing success. Everything students need to begin, organize, and revise writing--from choosing a topic to developing the essay to polishing prose--is right here In the ninth edition, Wyrick updates and refines the book's successful approach, adding useful new discussions, readings, exercises, essay assignments, and visual images for analysis.

Deep Learning for Time Series Forecasting

Author : Jason Brownlee
Publisher : Machine Learning Mastery
ISBN 13 :
Total Pages : 572 pages
Book Rating : 4./5 ( download)

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Book Synopsis Deep Learning for Time Series Forecasting by : Jason Brownlee

Download or read book Deep Learning for Time Series Forecasting written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2018-08-30 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality. With clear explanations, standard Python libraries, and step-by-step tutorial lessons you’ll discover how to develop deep learning models for your own time series forecasting projects.

Advances in Computational Intelligence

Author : Ignacio Rojas
Publisher : Springer Nature
ISBN 13 : 3031430859
Total Pages : 723 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Advances in Computational Intelligence by : Ignacio Rojas

Download or read book Advances in Computational Intelligence written by Ignacio Rojas and published by Springer Nature. This book was released on 2023-11-03 with total page 723 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 14134 and LNCS 14135 constitutes the refereed proceedings of the 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, held in Ponta Delgada, Portugal, during June 19–21, 2023. The 108 full papers presented in this two-volume set were carefully reviewed and selected from 149 submissions. The papers in Part I are organized in topical sections on advanced topics in computational intelligence; advances in artificial neural networks; ANN HW-accelerators; applications of machine learning in biomedicine and healthcare; and applications of machine learning in time series analysis. The papers in Part II are organized in topical sections on deep learning and applications; deep learning applied to computer vision and robotics; general applications of artificial intelligence; interaction with neural systems in both health and disease; machine learning for 4.0 industry solutions; neural networks in chemistry and material characterization; ordinal classification; real world applications of BCI systems; and spiking neural networks: applications and algorithms.

WCNN'96, San Diego, California, U.S.A.

Author : International Neural Network Society
Publisher : Psychology Press
ISBN 13 : 9780805826081
Total Pages : 1408 pages
Book Rating : 4.8/5 (26 download)

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Book Synopsis WCNN'96, San Diego, California, U.S.A. by : International Neural Network Society

Download or read book WCNN'96, San Diego, California, U.S.A. written by International Neural Network Society and published by Psychology Press. This book was released on 1996 with total page 1408 pages. Available in PDF, EPUB and Kindle. Book excerpt:

ECAI 2020

Author : G. De Giacomo
Publisher : IOS Press
ISBN 13 : 164368101X
Total Pages : 3122 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis ECAI 2020 by : G. De Giacomo

Download or read book ECAI 2020 written by G. De Giacomo and published by IOS Press. This book was released on 2020-09-11 with total page 3122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.

Recurrent Neural Networks for Short-Term Load Forecasting

Author : Filippo Maria Bianchi
Publisher : Springer
ISBN 13 : 3319703382
Total Pages : 74 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Recurrent Neural Networks for Short-Term Load Forecasting by : Filippo Maria Bianchi

Download or read book Recurrent Neural Networks for Short-Term Load Forecasting written by Filippo Maria Bianchi and published by Springer. This book was released on 2017-11-09 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective forecasting system. Significant research has thus been devoted to the design and development of methodologies for short term load forecasting over the past decades. A class of mathematical models, called Recurrent Neural Networks, are nowadays gaining renewed interest among researchers and they are replacing many practical implementations of the forecasting systems, previously based on static methods. Despite the undeniable expressive power of these architectures, their recurrent nature complicates their understanding and poses challenges in the training procedures. Recently, new important families of recurrent architectures have emerged and their applicability in the context of load forecasting has not been investigated completely yet. This work performs a comparative study on the problem of Short-Term Load Forecast, by using different classes of state-of-the-art Recurrent Neural Networks. The authors test the reviewed models first on controlled synthetic tasks and then on different real datasets, covering important practical cases of study. The text also provides a general overview of the most important architectures and defines guidelines for configuring the recurrent networks to predict real-valued time series.

New Frontiers in Computational Intelligence and Its Applications

Author : Masoud Mohammadian
Publisher : IOS Press
ISBN 13 : 9789051994766
Total Pages : 396 pages
Book Rating : 4.9/5 (947 download)

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Book Synopsis New Frontiers in Computational Intelligence and Its Applications by : Masoud Mohammadian

Download or read book New Frontiers in Computational Intelligence and Its Applications written by Masoud Mohammadian and published by IOS Press. This book was released on 2000 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence is a broad and active research area that is growing rapidly due to the many successful applications of these new techniques in very diverse problems. Many industries have benefited from adopting this technology. The increased number of patents and diverse range of products developed using computational intelligence methods is evidence of this fact. The goal of this book is to provide highlights of the current research in computational intelligence area. The book consists of research papers in the fields of neural networks, fuzzy logic, evolutionary computing, hybrid evolutionary computing-fuzzy logic systems, hybrid neural networks-evolutionary computing and fuzzy logic systems, image processing and vision, advances in robotics, control and manufacturing, and rough sets.

Neural Information Processing

Author : Jun Wang
Publisher : Springer
ISBN 13 : 3540464824
Total Pages : 1225 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Neural Information Processing by : Jun Wang

Download or read book Neural Information Processing written by Jun Wang and published by Springer. This book was released on 2006-10-03 with total page 1225 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006. The 386 revised full papers presented were carefully reviewed and selected from 1175 submissions.

Computational Intelligence: Theory and Applications

Author : Bernd Reusch
Publisher : Springer Science & Business Media
ISBN 13 : 3540487743
Total Pages : 726 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Computational Intelligence: Theory and Applications by : Bernd Reusch

Download or read book Computational Intelligence: Theory and Applications written by Bernd Reusch and published by Springer Science & Business Media. This book was released on 2007-07-16 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy Days in Dortmund were held for the first time in 1991. Initially, the con ference was intended for scientists and practitioners as a platform for discussions on theory and application of fuzzy logic. Early on, synergetic links with neural networks were included and the conference evolved gradually to embrace the full spectrum of what is now called Computational Intelligence (CI). Therefore, it seemed logical to launch the 4th Fuzzy Days in 1994 as a conference for CI—one of the world's first conferences featuring fuzzy logic, neural networks and evolu tionary algorithms together in one event. Following this successful tradition, the 6th Fuzzy Days' aim is to provide an international forum for reporting significant results on the theory and application of Cl-methods. Once again, we have received a remarkable number of papers. I would like to express my gratitude to all who have been interested in presenting their work within the framework of this conference and to the members of the programme committee for their valuable work (in this edition each paper was reviewed by five referees). In particular, I wish to thank all keynote and tutorial speakers for their commitment. Last but not least, I am obliged to the Deutsche Forschun- gemeinschaft and Kommunalverband Ruhrgebiet for their financial support.

Machine Learning and Intelligent Communications

Author : Xiangping Bryce Zhai
Publisher : Springer Nature
ISBN 13 : 3030323889
Total Pages : 799 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Machine Learning and Intelligent Communications by : Xiangping Bryce Zhai

Download or read book Machine Learning and Intelligent Communications written by Xiangping Bryce Zhai and published by Springer Nature. This book was released on 2019-10-27 with total page 799 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed post-conference proceedings of the Fourth International Conference on Machine Learning and Intelligent Communications, MLICOM 2019, held in Nanjing, China, in August 2019. The 65 revised full papers were carefully selected from 114 submissions. The papers are organized thematically in machine learning, intelligent positioning and navigation, intelligent multimedia processing and security, wireless mobile network and security, cognitive radio and intelligent networking, IoT, intelligent satellite communications and networking, green communication and intelligent networking, ad-hoc and sensor networks, resource allocation in wireless and cloud networks, signal processing in wireless and optical communications, and intelligent cooperative communications and networking.

Nonlinear Structures & Systems, Volume 1

Author : Gaetan Kerschen
Publisher : Springer Nature
ISBN 13 : 3030771350
Total Pages : 215 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Nonlinear Structures & Systems, Volume 1 by : Gaetan Kerschen

Download or read book Nonlinear Structures & Systems, Volume 1 written by Gaetan Kerschen and published by Springer Nature. This book was released on 2021-11-16 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Recurrent Neural Networks for Temporal Data Processing

Author : Hubert Cardot
Publisher : BoD – Books on Demand
ISBN 13 : 9533076852
Total Pages : 116 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Recurrent Neural Networks for Temporal Data Processing by : Hubert Cardot

Download or read book Recurrent Neural Networks for Temporal Data Processing written by Hubert Cardot and published by BoD – Books on Demand. This book was released on 2011-02-09 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems.

Advances in Theoretical and Computational Energy Optimization Processes

Author : Ferdinando Salata
Publisher : MDPI
ISBN 13 : 3039366823
Total Pages : 422 pages
Book Rating : 4.0/5 (393 download)

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Book Synopsis Advances in Theoretical and Computational Energy Optimization Processes by : Ferdinando Salata

Download or read book Advances in Theoretical and Computational Energy Optimization Processes written by Ferdinando Salata and published by MDPI. This book was released on 2020-12-29 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: The paradigm in the design of all human activity that requires energy for its development must change from the past. We must change the processes of product manufacturing and functional services. This is necessary in order to mitigate the ecological footprint of man on the Earth, which cannot be considered as a resource with infinite capacities. To do this, every single process must be analyzed and modified, with the aim of decarbonising each production sector. This collection of articles has been assembled to provide ideas and new broad-spectrum contributions for these purposes.