標(biāo)題: Titlebook: Artificial Intelligent Methods for Handling Spatial Data; Fuzzy Rulebase Syste J?rg Verstraete Book 2019 Springer Nature Switzerland AG 201 [打印本頁(yè)] 作者: 側(cè)面上下 時(shí)間: 2025-3-21 18:13
書目名稱Artificial Intelligent Methods for Handling Spatial Data影響因子(影響力)
書目名稱Artificial Intelligent Methods for Handling Spatial Data影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligent Methods for Handling Spatial Data網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligent Methods for Handling Spatial Data網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligent Methods for Handling Spatial Data被引頻次
書目名稱Artificial Intelligent Methods for Handling Spatial Data被引頻次學(xué)科排名
書目名稱Artificial Intelligent Methods for Handling Spatial Data年度引用
書目名稱Artificial Intelligent Methods for Handling Spatial Data年度引用學(xué)科排名
書目名稱Artificial Intelligent Methods for Handling Spatial Data讀者反饋
書目名稱Artificial Intelligent Methods for Handling Spatial Data讀者反饋學(xué)科排名
作者: dandruff 時(shí)間: 2025-3-21 23:43 作者: 冷淡一切 時(shí)間: 2025-3-22 02:21
Artificial Intelligent Methods for Handling Spatial DataFuzzy Rulebase Syste作者: 謙虛的人 時(shí)間: 2025-3-22 08:09 作者: 遠(yuǎn)地點(diǎn) 時(shí)間: 2025-3-22 10:35
Wasser: ?kologie und Bewirtschaftungations. The proposed method aims to find errors and circumvents them by lowering the dimension of calculated geometries. This algorithm is used throughout the implementation, as all spatial operations make use of it.作者: confederacy 時(shí)間: 2025-3-22 14:23
1434-9922 sting inference systems and their applications to new probleThis 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 introdu作者: heart-murmur 時(shí)間: 2025-3-22 17:40 作者: OTHER 時(shí)間: 2025-3-22 22:05 作者: kidney 時(shí)間: 2025-3-23 03:37
Problem Description and Related Workligned grids. Following the introduction of the problems related to overlaying spatial data, particularly in the context of gridded data, it elaborates on related work and state of the art, and continues with the formulation of the problem and the concept of the solution considered in this work.作者: insurgent 時(shí)間: 2025-3-23 07:53
Conclusion to develop the current algorithm. Lastly, new application fields for the methodology are presented: the concept is quite universal and there are other applications that could benefit from a similar approach.作者: 按時(shí)間順序 時(shí)間: 2025-3-23 09:54
Rulebase Constructionance, provided it can be calculated for every variable. This also impacts the application of the rulebase, where the domains are also not a priori known. Unlike with a normal rescaling, the resulting fuzzy set is correctly defined on the domain of the result, which is beneficial for subsequent processing.作者: 侵蝕 時(shí)間: 2025-3-23 15:22 作者: GAVEL 時(shí)間: 2025-3-23 19:35 作者: inculpate 時(shí)間: 2025-3-23 22:40
https://doi.org/10.1007/978-3-642-86691-3culations. The proposed method aims to find errors and circumvents them by lowering the dimension of calculated geometries. This algorithm is used throughout the implementation, as all spatial operations make use of it.作者: hedonic 時(shí)間: 2025-3-24 05:20
Parameters and Most Possible Rangeswill require a modification to the algorithm for construction a rulebase from examples which will be explained in the next chapter. It will also impact the application of the rulebase, where the domains are also not a priori known.作者: Affluence 時(shí)間: 2025-3-24 08:45
Constrained Defuzzification defuzzification of fuzzy sets, where a method was developed to defuzzify multiple fuzzy sets in parallel, under the condition that the result should sum up?to a given value. This constrained defuzzification allows for better results in the context of the spatial processing, but can also have wider applications.作者: frugal 時(shí)間: 2025-3-24 12:42 作者: 繼而發(fā)生 時(shí)間: 2025-3-24 16:56
https://doi.org/10.1007/978-3-658-17336-4ance, provided it can be calculated for every variable. This also impacts the application of the rulebase, where the domains are also not a priori known. Unlike with a normal rescaling, the resulting fuzzy set is correctly defined on the domain of the result, which is beneficial for subsequent processing.作者: MUMP 時(shí)間: 2025-3-24 20:22
Book 2019m 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 作者: Incisor 時(shí)間: 2025-3-25 02:50
Introductionxactly is data with a spatial component, before moving on to the conceptual spatial models that are commonly used in geographic information systems: feature based and grid based, along with their uses. The chapter elaborates on the details of the different models and why working with data in differe作者: 圖表證明 時(shí)間: 2025-3-25 04:47
Problem Description and Related Workcedure called regridding) and elaborates on the details of the specific case of spatial disaggregation as well as the general case of regridding ill-aligned grids. Following the introduction of the problems related to overlaying spatial data, particularly in the context of gridded data, it elaborate作者: 拉開這車床 時(shí)間: 2025-3-25 08:50
Conceptit: from the point of an expert who has knowledge on the topic and how he/she would use that knowledge to obtain better results. A short introduction to a rulebase system is provided—this will be explained in more detail more in Part II, particularly in Chap.?..作者: countenance 時(shí)間: 2025-3-25 12:28 作者: 使人煩燥 時(shí)間: 2025-3-25 15:52 作者: 北極人 時(shí)間: 2025-3-25 21:36
Constrained Defuzzificationsult, and defuzzification of it results in the final outcome. However, in the spatial application, there are a number of rulebase applications that together form the end result. This chapter elaborates on the interpretation of the results and the postprocessing necessary to properly interpret the re作者: 發(fā)怨言 時(shí)間: 2025-3-26 03:59
Data Comparisony directly related to the main problem, but also needed to be solved in order to either evaluate or implement the algorithm. The first developed aspect is an algorithm for assessing the similarity of a grid with a given reference grid, based on how well the grid resembles the unknown underlying dist作者: 考得 時(shí)間: 2025-3-26 06:26
Implementation Aspects necessarily directly related to the main problem, but also needed to be solved in order to either evaluate or implement the algorithm. Among other things, this includes the way of dealing with robustness errors when processing spatial data. The limited representation of real numbers in a computer s作者: Cabinet 時(shí)間: 2025-3-26 09:35
Conclusion, directions for future research are listed; this not only concerns research in spatial data processing but also in related fields that were necessary to develop the current algorithm. Lastly, new application fields for the methodology are presented: the concept is quite universal and there are othe作者: NEX 時(shí)間: 2025-3-26 16:08
https://doi.org/10.1007/978-3-030-00238-1Spatial Data Processing; Regridding; Map Overlay for Grids; Applications of Fuzzy Inference Systems; App作者: 大門在匯總 時(shí)間: 2025-3-26 20:23
978-3-030-13095-4Springer Nature Switzerland AG 2019作者: cushion 時(shí)間: 2025-3-26 21:04 作者: 擋泥板 時(shí)間: 2025-3-27 03:32
https://doi.org/10.1007/978-3-531-90719-2cedure called regridding) and elaborates on the details of the specific case of spatial disaggregation as well as the general case of regridding ill-aligned grids. Following the introduction of the problems related to overlaying spatial data, particularly in the context of gridded data, it elaborate作者: Corral 時(shí)間: 2025-3-27 06:30 作者: phlegm 時(shí)間: 2025-3-27 10:02 作者: exorbitant 時(shí)間: 2025-3-27 15:50 作者: reaching 時(shí)間: 2025-3-27 18:22
https://doi.org/10.1007/978-3-658-17336-4sult, and defuzzification of it results in the final outcome. However, in the spatial application, there are a number of rulebase applications that together form the end result. This chapter elaborates on the interpretation of the results and the postprocessing necessary to properly interpret the re作者: 想象 時(shí)間: 2025-3-27 23:13 作者: output 時(shí)間: 2025-3-28 04:57
https://doi.org/10.1007/978-3-642-86691-3 necessarily directly related to the main problem, but also needed to be solved in order to either evaluate or implement the algorithm. Among other things, this includes the way of dealing with robustness errors when processing spatial data. The limited representation of real numbers in a computer s作者: 權(quán)宜之計(jì) 時(shí)間: 2025-3-28 09:53 作者: 誓言 時(shí)間: 2025-3-28 13:27 作者: Fermentation 時(shí)間: 2025-3-28 16:56
https://doi.org/10.1007/978-3-658-20022-0This chapter contains the description of the developed algorithm, applying the different aspects considered in the earlier chapters.作者: 細(xì)絲 時(shí)間: 2025-3-28 21:43 作者: Defense 時(shí)間: 2025-3-29 01:18
Fuzzy Rulebase SystemsIn this chapter, the fuzzy rulebase systems will be explained. This ranges from how they are constructed from training data, to how they are applied and how the results are interpreted. As the rulebase systems are an application of fuzzy set theory and linguistic terms, the chapter starts with a short introduction on this topic.作者: flamboyant 時(shí)間: 2025-3-29 06:05 作者: CHECK 時(shí)間: 2025-3-29 08:37 作者: ANTH 時(shí)間: 2025-3-29 11:35 作者: FECT 時(shí)間: 2025-3-29 16:21 作者: 無(wú)能的人 時(shí)間: 2025-3-29 22:46
J?rg VerstraeteReports on a novel method combining fuzzy inference systems with spatial data to solve the map overlay problem.Describes modification of existing inference systems and their applications to new proble作者: enumaerate 時(shí)間: 2025-3-30 01:29 作者: impale 時(shí)間: 2025-3-30 05:09
