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Contents
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About this book
Describes the basic concept of neural nets, as well as providing a more mathematical treatise for those requiring further details on neural net architecture. Examples of neural net applications are given, including their use in examining the relationships between atmospheric circulation and tropical rainfall, and the remote sensing of polar cloud and sea ice characteristics.
Contents
Looks and Uses; B.C. Hewitson, R.G. Crane. Neural Networks and Their Applications; E.E. Clothiaux, C.M. Bachmann. Neuroclassification of Spatial Data; S. Openshaw. Self-Organizing Maps - Application to Census Data; K. Winter, B.C. Hewitson. Predicting Snowfall from Synoptic Circulation - a Comparison of Linear Regression and Neural Network Methodologies; D.L. McGinnis. Neural Computing and the AIDS Pandemic - the Case of Ohio; P.G. Gould. Precipitation Controls in Southern Mexico; B.C. Hewitson, R.G. Crane. Classification of Arctic Cloud and Sea Ice Features in Multi-Spectral Satellite Data; J.R. Key. Appendices: Neural Network Resources; Fortran 77 Listing for Kohonen Self-Organizing Map.
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