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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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0924-5499 ls onmountain snowfall, examining the relationships between atmosphericcirculation and tropical rainfall, and the remote sensing of polarcloud and sea ice chara978-94-010-4490-5978-94-011-1122-5Series ISSN 0924-5499 Series E-ISSN 2215-0072
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Looks and Uses,y blank looks of non-comprehension. The reasons for this are varied, but are in part due to misunderstanding, mis-representation, and in some cases lack of exposure. For many years neural nets have also suffered from the affliction of a confusing nomenclature. For example, ‘neural net’ goes under su
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Neural Networks and Their Applications,ive, efficient, highstorage capacity computers, there has been an information explosion in many scientific disciplines as researchers are able to acquire larger and more comprehensive data sets. The interpretation of much of these data often requires manual inspection by scientists, especially when
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Predicting Snowfall from Synoptic Circulation: A Comparison of Linear Regression and Neural Networkels (GCMs) to adequately represent modern climate features. Although the GCMs represent large-scale features well, their ability to model regional or local climate remains highly suspect. Important developments for the analysis of regional climate-change include statistical methodologies that transl
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