Neural Nets: Applications in Geography

ISBN-13: 9780792327462 / Angielski / Twarda / 1994 / 208 str.

Bruce C. Hewitson; B. Hewitson; R. G. Crane

Opis

Neural nets offer a new strategy for spatial analysis, and their application holds enormous potential for the geographic sciences. However, the number of studies that have utilized these techniques is limited. This lack of interest can be attributed, in part, to lack of exposure, to the use of extensive and often confusing jargon, and to the misapprehension that, without an underlying statistical model, the explanatory power of the neural net is very low. This text attacks all three issues, demonstrating a wide variety of neural net applications in geography in a simple manner, with minimal jargon.

Spis treści

Preface. 1. Looks and Uses; B.C. Hewitson, R.G. Crane. 2. Neural Networks and Their Applications; E.E. Clothiaux, C.M. Bachmann. 3. Neuroclassification of Spatial Data; S. Openshaw. 4. Self Organizing Maps -- Application to Census Data; K. Winter, B.C. Hewitson. 5. Predicting Snowfall from Synoptic Circulation: a Comparison of Linear Regression and Neural Network Methodologies; D.L. McGinnis. 6. Neural Computing and the AIDS Pandemic: the Case of Ohio; P.G. Gould. 7. Precipitation Controls in Southern Mexico; B.C. Hewitson, R.G. Crane. 8. Classification of Arctic Cloud and Sea Ice Features in Multi-Spectral Satellite Data; J.R. Key. Appendix I: Neural Network Resources. Appendix II: Fortran 77 Listing for Kohonen Self Organizing Map.