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Artificial Intelligent Methods for Handling Spatial Data, J?rg Verstraete


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Автор: J?rg Verstraete
Название:  Artificial Intelligent Methods for Handling Spatial Data
ISBN: 9783030130954
Издательство: Springer
Классификация:



ISBN-10: 3030130959
Обложка/Формат: Soft cover
Страницы: 135
Вес: 0.24 кг.
Дата издания: 2019
Серия: Studies in Fuzziness and Soft Computing
Язык: English
Издание: Softcover reprint of
Иллюстрации: 100 tables, color; 46 illustrations, color; 7 illustrations, black and white; xvi, 135 p. 53 illus., 46 illus. in color.
Размер: 234 x 156 x 8
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Fuzzy Rulebase Systems and Gridded Data Problems
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book provides readers with an insight into the development of a novel method for regridding gridded spatial data, an operation required to perform the map overlay operation and apply map algebra when processing spatial data. It introduces the necessary concepts from spatial data processing and fuzzy rulebase systems and describes the issues experienced when using current regridding algorithms. The main focus of the book is on describing the different modifications needed to make the problem compatible with fuzzy rulebases. It offers a number of examples of out-of-the box thinking to handle aspects such as rulebase construction, defuzzification, spatial data comparison, etc. At first, the emphasis is put on the newly developed method, and additional datasets containing information on the underlying spatial distribution of the data are identified. After this, an artificial intelligent system (in the form of a fuzzy inference system) is constructed using this knowledge and then applied on the input data to perform the regridding. The book offers an example of how an apparently simple problem can pose many different challenges, even when trying to solve it with existing soft computing technologies. The workflow and solutions to solve these challenges are universal and may therefore be broadly applied into other contexts.
Дополнительное описание: Introduction.- Problem Description and Related Work.- Concept.- Fuzzy Rulebase Systems.- Parameters and most Possible Ranges.- Rulebase Construction.- Constrained Defuzzi?cation.- Data Comparison.- Experiments.- Conclusion.



Artificial Intelligence Methods in Intelligent Algorithms

Автор: Radek Silhavy
Название: Artificial Intelligence Methods in Intelligent Algorithms
ISBN: 303019809X ISBN-13(EAN): 9783030198091
Издательство: Springer
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Цена: 25155.00 р.
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Описание: This book discusses the current trends in and applications of artificial intelligence research in intelligent systems. Including the proceedings of the Artificial Intelligence Methods in Intelligent Algorithms Section of the 8th Computer Science On-line Conference 2019 (CSOC 2019), held in April 2019, it features papers on neural networks algorithms, optimisation algorithms and real-world issues related to the application of artificial methods.

Artificial Intelligent Methods for Handling Spatial Data

Автор: Jorg Verstraete
Название: Artificial Intelligent Methods for Handling Spatial Data
ISBN: 3030002373 ISBN-13(EAN): 9783030002374
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides readers with an insight into the development of a novel method for regridding gridded spatial data, an operation required to perform the map overlay operation and apply map algebra when processing spatial data. It introduces the necessary concepts from spatial data processing and fuzzy rulebase systems and describes the issues experienced when using current regridding algorithms. The main focus of the book is on describing the different modifications needed to make the problem compatible with fuzzy rulebases. It offers a number of examples of out-of-the box thinking to handle aspects such as rulebase construction, defuzzification, spatial data comparison, etc. At first, the emphasis is put on the newly developed method, and additional datasets containing information on the underlying spatial distribution of the data are identified. After this, an artificial intelligent system (in the form of a fuzzy inference system) is constructed using this knowledge and then applied on the input data to perform the regridding. The book offers an example of how an apparently simple problem can pose many different challenges, even when trying to solve it with existing soft computing technologies. The workflow and solutions to solve these challenges are universal and may therefore be broadly applied into other contexts.

Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods

Автор: Satchidananda Dehuri, Manas Ranjan Patra, Bijan Bihari Misral, Alok Kumar Jagadev
Название: Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods
ISBN: 1466625422 ISBN-13(EAN): 9781466625426
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Although recommendation systems have become a vital research area in the fields of cognitive science, approximation theory, information retrieval and management sciences, they still require improvements to make recommendation methods more effective and intelligent. <br><br><em>Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods</em> is a comprehensive collection of research on the latest advancements of intelligence techniques and their application to recommendation systems and how this could improve this field of study.

Intelligent Data Analysis for Real-Life Applications: Theory and Practice

Автор: Rafael Magdalena-Benedito, Marcelino Martinez-Sober, Jose Maria Martinez-Martinez, Pablo Escandell-Moreno, Joan Vila-Frances
Название: Intelligent Data Analysis for Real-Life Applications: Theory and Practice
ISBN: 146661806X ISBN-13(EAN): 9781466618060
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Intelligent Data Analysis for Real-Life Applications: Theory and Practice investigates the application of Intelligent Data Analysis (IDA) to these data sets through the design and development of algorithms and techniques to extract knowledge from databases. This pivotal reference explores practical applications of IDA, and it is essential for academic and research libraries as well as students, researchers, and educators in data analysis, application development, and database management.

Medical Applications of Intelligent Data Analysis: Research Advancements

Автор: Rafael Magdalena-Benedito, Emilio Soria-Olivas, Juan Guerrero Martinez, Juan Gomez-Sanchis, Antonio Jose Serrano-Lopez
Название: Medical Applications of Intelligent Data Analysis: Research Advancements
ISBN: 1466618035 ISBN-13(EAN): 9781466618039
Издательство: Mare Nostrum (Eurospan)
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Цена: 28413.00 р.
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Описание: Medical Applications of Intelligent Data Analysis: Research Advancements explores the potential of utilizing this medical data through the implementation of developed models in practical applications. This premier reference source features chapters contributed by specialists in a variety of intelligent data analysis (IDA) fields related to medicine, health, and bioinformatics. All of these contributions are devoted to describing the practical medical applications of IDA and how the theory described in many other books can be implemented to improve medical care.

Intelligent Methods and Big Data in Industrial Applications

Автор: Bembenik
Название: Intelligent Methods and Big Data in Industrial Applications
ISBN: 3319776037 ISBN-13(EAN): 9783319776033
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

Intelligent Methods and Big Data in Industrial Applications

Автор: Robert Bembenik; ?ukasz Skonieczny; Grzegorz Prota
Название: Intelligent Methods and Big Data in Industrial Applications
ISBN: 3030084922 ISBN-13(EAN): 9783030084929
Издательство: Springer
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Цена: 20962.00 р.
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Описание: The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent computational methods and big data foster innovation and enable the industry to overcome technological limitations and explore the new frontiers. Therefore it is necessary for scientists and practitioners to cooperate and inspire each other, and use the latest research findings to create new designs and products. As such, the contributions cover solutions to the problems experienced by practitioners in the areas of artificial intelligence, complex systems, data mining, medical applications and bioinformatics, as well as multimedia- and text processing. Further, the book shows new directions for cooperation between science and industry and facilitates efficient transfer of knowledge in the area of intelligent information systems.

Methods for Handling Imperfect Spatial Information

Автор: Robert Jeansoulin; Odile Papini; Henri Prade; Stev
Название: Methods for Handling Imperfect Spatial Information
ISBN: 3642265340 ISBN-13(EAN): 9783642265341
Издательство: Springer
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Цена: 30606.00 р.
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Описание: This is the first review of spatial uncertainty that moves outside the arena of geographical information systems. It tackles the prediction and interpolation of spatial phenomena, as well as examining uncertainty from linguistic and spatial perspectives.

Hybrid Artificial Intelligent Systems

Автор: Francisco Javier Mart?nez de Pis?n; Rub?n Urraca;
Название: Hybrid Artificial Intelligent Systems
ISBN: 3319596497 ISBN-13(EAN): 9783319596495
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This volume constitutes the refereed proceedings of the 12th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2017, held in La Rioja, Spain, in June 2017. The 60 full papers published in this volume were carefully reviewed and selected from 130 submissions.

Artificial Intelligence Trends in Intelligent Systems

Автор: Radek Silhavy; Roman Senkerik; Zuzana Kominkova Op
Название: Artificial Intelligence Trends in Intelligent Systems
ISBN: 3319572601 ISBN-13(EAN): 9783319572604
Издательство: Springer
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Цена: 39130.00 р.
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Описание: This book presents new methods and approaches to real-world problems as well as exploratory research that describes novel artificial intelligence applications, including deep learning, neural networks and hybrid algorithms.

Artificial Life and Intelligent Agents

Автор: Christopher J. Headleand; William J. Teahan; Llyr
Название: Artificial Life and Intelligent Agents
ISBN: 3319180835 ISBN-13(EAN): 9783319180830
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the refereed proceedings of the First International Symposium on Artificial Life and Intelligent Agents, ALIA 2014, held in Bangor, UK, in November 2014. The 10 revised full papers were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections on learning and evolution;

Hybrid Artificial Intelligent Systems

Автор: Francisco Mart?nez-?lvarez; Alicia Troncoso; H?cto
Название: Hybrid Artificial Intelligent Systems
ISBN: 3319320335 ISBN-13(EAN): 9783319320335
Издательство: Springer
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Цена: 12298.00 р.
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Описание: Thisvolume constitutes the refereed proceedings of the 11th International Conferenceon Hybrid Artificial Intelligent Systems, HAIS 2016, held in Seville, Spain, inApril 2016. The 63full papers published in this volume were carefully reviewed and selected from150 submissions.


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