作者: 品牌 時間: 2025-3-21 21:37
Damaris Helene Wikramanayake Ph.D.ensing [RS] data, is stimulating increasing interest in spatial analysis from outside the spatial sciences. The recognition of the spatial dimension in social science research sometimes yields different and more meaningful results than analysis that ignores it.作者: 尾巴 時間: 2025-3-22 04:19 作者: 羅盤 時間: 2025-3-22 05:58
https://doi.org/10.1007/978-1-349-72520-5between theoretically based research activities and real world applications. Especially in the field of social sciences, worthwhile applications of computational neural networks [CNNs] are the exception rather than the rule.作者: N斯巴達人 時間: 2025-3-22 09:59 作者: LEERY 時間: 2025-3-22 14:06
Spatial Pattern Recognition in Remote Sensing by Neural Networksy (1990) and Hepner et al. (1990), they have grown significantly in popularity as tools for the analysis of remote sensing data, primarily for the purpose of deriving spatial information used in environmental management. This popularity is due to several factors:作者: LEERY 時間: 2025-3-22 19:26 作者: 鞭打 時間: 2025-3-22 22:04
978-3-642-07549-0Springer-Verlag Berlin Heidelberg 2001作者: LIMIT 時間: 2025-3-23 01:55
GeoComputational Modelling978-3-662-04637-1Series ISSN 1430-9602 Series E-ISSN 2197-9375 作者: 陶醉 時間: 2025-3-23 08:08 作者: 猛然一拉 時間: 2025-3-23 12:17 作者: 平項山 時間: 2025-3-23 14:09
Neural Spatial Interaction Modelseparation between the point of departure and the destination. It is the pervasiveness of this type of trade-off in spatial behaviour which has made spatial interaction analysis and modelling so important, and the subject of intensive investigation in human geography and regional science (Fotheringha作者: metropolitan 時間: 2025-3-23 20:14
1430-9602 nderstanding of what geocomputation is and what it entails..The broad coverage makes it invaluable reading for resarchers and professionals in geography, environmental and economic sciences as well as for graduate students of spatial science and computer science..978-3-642-07549-0978-3-662-04637-1Series ISSN 1430-9602 Series E-ISSN 2197-9375 作者: 通情達理 時間: 2025-3-24 01:37
Short-Term Impacts of Erasmus Mobility,hemselves. Urban history reveals a succession of instruments used to separate the growing city from its suburbs. Documented examples refer to Ur in Sumeria, ancient Rome, to Elizabethan London, where edicts were in place to ensure the quality of life in the core city by restricting overbuilding and 作者: Eructation 時間: 2025-3-24 06:08 作者: 加劇 時間: 2025-3-24 07:51
GeoComputational Modelling — Techniques and Applications: Prologuel sciences. Different people, however, have different views of this research paradigm. For some it is synonymous with geographical information systems [GIS]. But GeoComputation is not GIS. There does exist a relationship with GIS, defined as geographical information science, but GeoComputation has o作者: 高歌 時間: 2025-3-24 14:16 作者: Gossamer 時間: 2025-3-24 15:11 作者: Mettle 時間: 2025-3-24 22:45 作者: 好色 時間: 2025-3-25 02:06
Cellular Dynamics: Modelling Urban Growth as a Spatial Epidemicstorical origins of growth, the emergence of edge cities which both compete with and complement the functions of the core, and the rapid suburbanization of the periphery of cities — core and edge — which represent the spatially most extensive indicator of such growth. Our understanding of these grow作者: Influx 時間: 2025-3-25 07:23
Spatial Pattern Recognition in Remote Sensing by Neural Networksy (1990) and Hepner et al. (1990), they have grown significantly in popularity as tools for the analysis of remote sensing data, primarily for the purpose of deriving spatial information used in environmental management. This popularity is due to several factors:作者: 表否定 時間: 2025-3-25 08:58 作者: 誘導(dǎo) 時間: 2025-3-25 14:42
Neural Spatial Interaction Modelse has been the development of spatial interaction models. Spatial interaction can be broadly defined as movement of people, commodities, capital and/or information over geographical space (see Batten and Boyce 1986). Such interaction encompasses such diverse behaviour as migration, travel-to-work, s作者: outset 時間: 2025-3-25 19:42 作者: Arctic 時間: 2025-3-25 20:22
International Environmental Policy,l sciences. Different people, however, have different views of this research paradigm. For some it is synonymous with geographical information systems [GIS]. But GeoComputation is not GIS. There does exist a relationship with GIS, defined as geographical information science, but GeoComputation has o作者: slipped-disk 時間: 2025-3-26 02:48 作者: Inculcate 時間: 2025-3-26 06:51
https://doi.org/10.1007/978-3-319-43829-0ackpropagation [BP] training algorithm. There are numerous variants of the classical BP algorithm and other training algorithms, but all these training algorithms assume a fixed CNN architecture. They only train weights in the fixed architecture that includes both connectivity and node transfer func作者: jocular 時間: 2025-3-26 10:16
Mohd Ismail Abd Aziz,Doria Abdullahss of what we are dealing with, the need to handle systems with a high degree of complexity is now the rule rather than the exception. With our spatial systems becoming more and more complex and highly fluid, non-linearity prevails and evolution is full of surprises. It is essential to develop appro作者: MEEK 時間: 2025-3-26 14:02
Short-Term Impacts of Erasmus Mobility,storical origins of growth, the emergence of edge cities which both compete with and complement the functions of the core, and the rapid suburbanization of the periphery of cities — core and edge — which represent the spatially most extensive indicator of such growth. Our understanding of these grow作者: hazard 時間: 2025-3-26 18:55 作者: 籠子 時間: 2025-3-26 23:42
https://doi.org/10.1007/978-3-319-59069-1ral network applications in this area is relatively new, dating back only about six to seven years. The first studies established the feasibility of error-based learning systems such as backpropagation (see Key, Maslanik and Schweiger 1989; McClellan et al. 1989; Benediktsson, Swain and Ersoy 1990; 作者: 阻塞 時間: 2025-3-27 01:28
Research Methodology and Data Basis,e has been the development of spatial interaction models. Spatial interaction can be broadly defined as movement of people, commodities, capital and/or information over geographical space (see Batten and Boyce 1986). Such interaction encompasses such diverse behaviour as migration, travel-to-work, s作者: explicit 時間: 2025-3-27 05:54 作者: cartilage 時間: 2025-3-27 09:25
1430-9602 ooms.Establishes general principles and builds solid foundatGeocomputation may be viewed as the application of a computational science paradigm to study a wide range of problems in geographical systems contexts..This volume presents a clear, comprehensive and thoroughly state-of-the-art overview of 作者: 果核 時間: 2025-3-27 14:34
International Environmental Policy, [GIS]. But GeoComputation is not GIS. There does exist a relationship with GIS, defined as geographical information science, but GeoComputation has other relationships too that are just as important, for example, with computer science, pattern recognition and statistics, neurocomputing and computational intelligence technologies.作者: Carminative 時間: 2025-3-27 20:22
Mohd Ismail Abd Aziz,Doria Abdullahl systems becoming more and more complex and highly fluid, non-linearity prevails and evolution is full of surprises. It is essential to develop approaches which can effectively analyse complexity, non-linearity and dynamics in spatial systems in general, and in particular spatial classification and knowledge acquisition.作者: remission 時間: 2025-3-27 22:24 作者: Pillory 時間: 2025-3-28 05:30 作者: CLASP 時間: 2025-3-28 10:11
GeoComputational Modelling — Techniques and Applications: Prologue [GIS]. But GeoComputation is not GIS. There does exist a relationship with GIS, defined as geographical information science, but GeoComputation has other relationships too that are just as important, for example, with computer science, pattern recognition and statistics, neurocomputing and computational intelligence technologies.作者: 死亡率 時間: 2025-3-28 11:06
Neural and Evolutionary Computation Methods for Spatial Classification and Knowledge Acquisitionl systems becoming more and more complex and highly fluid, non-linearity prevails and evolution is full of surprises. It is essential to develop approaches which can effectively analyse complexity, non-linearity and dynamics in spatial systems in general, and in particular spatial classification and knowledge acquisition.作者: Coronary-Spasm 時間: 2025-3-28 16:08
https://doi.org/10.1007/978-3-319-43829-0portant issue, because there is strong biological and engineering evidence to support the contention that the function, i.e. the information processing capability of an CNN, is determined by its architecture.作者: 食草 時間: 2025-3-28 19:45
Evolving Computational Neural Networks Through Evolutionary Computationportant issue, because there is strong biological and engineering evidence to support the contention that the function, i.e. the information processing capability of an CNN, is determined by its architecture.作者: 赦免 時間: 2025-3-29 00:03 作者: 樂意 時間: 2025-3-29 03:14
Fuzzy ARTMAP — A Neural Classifier for Multispectral Image ClassificationHepner et al. 1990). Subsequent studies analyzed backpropagation networks in more detail and compared them to standard statistical classifiers such as the Gaussian maximum likelihood (see Bischof; Schneider and Pinz 1992; Kanellopoulos, Wilkinson and Mégier 1993; Fischer et al. 1994).作者: 過剩 時間: 2025-3-29 10:49
