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  3. Ekspert - og vidensbaserede systemer

Artificial Intelligent Methods for Handling Spatial Data

- Fuzzy Rulebase Systems and Gridded Data Problems
Af: Jorg Verstraete Engelsk Hardback

Artificial Intelligent Methods for Handling Spatial Data

- Fuzzy Rulebase Systems and Gridded Data Problems
Af: Jorg Verstraete Engelsk Hardback
Tjek vores konkurrenters priser
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.
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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.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 135
ISBN-13: 9783030002374
Indbinding: Hardback
Udgave:
ISBN-10: 3030002373
Kategori: Ekspert - og vidensbaserede systemer
Udg. Dato: 11 sep 2018
Længde: 0mm
Bredde: 155mm
Højde: 235mm
Forlag: Springer Nature Switzerland AG
Oplagsdato: 11 sep 2018
Forfatter(e): Jorg Verstraete
Forfatter(e) Jorg Verstraete

Kategori Ekspert - og vidensbaserede systemer

ISBN-13 9783030002374

Sprog Engelsk

Indbinding Hardback

Sider 135

Udgave

Længde 0mm

Bredde 155mm

Højde 235mm

Udg. Dato 11 sep 2018

Oplagsdato 11 sep 2018

Forlag Springer Nature Switzerland AG

Kategori sammenhænge