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Titlebook: Neural Nets: Applications in Geography; Bruce C. Hewitson,Robert G. Crane Book 1994 Springer Science+Business Media Dordrecht 1994 Census.

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发表于 2025-3-21 17:26:16 | 显示全部楼层 |阅读模式
书目名称Neural Nets: Applications in Geography
编辑Bruce C. Hewitson,Robert G. Crane
视频video
丛书名称GeoJournal Library
图书封面Titlebook: Neural Nets: Applications in Geography;  Bruce C. Hewitson,Robert G. Crane Book 1994 Springer Science+Business Media Dordrecht 1994 Census.
描述Neural nets offer a fascinating new strategy for spatialanalysis, and their application holds enormous potential for thegeographic sciences. However, the number of studies that have utilizedthese techniques is limited. This lack of interest can be attributed,in part, to lack of exposure, to the use of extensive and oftenconfusing jargon, and to the misapprehension that, without anunderlying statistical model, the explanatory power of the neural netis very low..Neural Nets: Applications for Geography. attacksall three issues; the text demonstrates a wide variety of neural netapplications in geography in a simple manner, with minimal jargon..The volume presents an introduction to neural nets that describes someof the basic concepts, as well as providing a more mathematicaltreatise for those wishing further details on neural net architecture.The bulk of the text, however, is devoted to descriptions of neuralnet applications in such broad-ranging fields as census analysis,predicting the spread of AIDS, describing synoptic controls onmountain snowfall, examining the relationships between atmosphericcirculation and tropical rainfall, and the remote sensing of polarcloud and sea ice chara
出版日期Book 1994
关键词Census; cluster analysis; networks; remote sensing; satellite
版次1
doihttps://doi.org/10.1007/978-94-011-1122-5
isbn_softcover978-94-010-4490-5
isbn_ebook978-94-011-1122-5Series ISSN 0924-5499 Series E-ISSN 2215-0072
issn_series 0924-5499
copyrightSpringer Science+Business Media Dordrecht 1994
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David L. McGinnis same is true for telescopic and/or in situ investigations of the planets, moons, asteroids, meteors, meteorites, interplanetary dust, solar wind etc. The use of units for physical quantities in the present volume follows largely the rules given by the International Astronomical Union (IAU), c.f. ht
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Classification of Arctic Cloud and Sea Ice Features in Multi-Spectral Satellite Data,ion where global climate change may be most easily detected. Unfortunately, in situ observations of surface and atmospheric characteristics in the central Arctic are difficult to obtain. Monitoring the polar climate systems using satellite data may be the only viable method of obtaining the informat
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Book 1994riptions of neuralnet applications in such broad-ranging fields as census analysis,predicting the spread of AIDS, describing synoptic controls onmountain snowfall, examining the relationships between atmosphericcirculation and tropical rainfall, and the remote sensing of polarcloud and sea ice chara
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Bruce C. Hewitson,Robert G. Cranerites, interplanetary dust, solar wind etc. The use of units for physical quantities in the present volume follows largely the rules given by the International Astronomical Union (IAU), c.f. ht978-3-540-88055-4Series ISSN 1615-1844 Series E-ISSN 1616-9522
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Eugene E. Clothiaux,Charles M. Bachmannrites, interplanetary dust, solar wind etc. The use of units for physical quantities in the present volume follows largely the rules given by the International Astronomical Union (IAU), c.f. ht978-3-540-88055-4Series ISSN 1615-1844 Series E-ISSN 1616-9522
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