Titlebook: Artificial Intelligence Methods in the Environmental Sciences; Sue Ellen Haupt,Antonello Pasini,Caren Marzban Book 2009 Springer Science+B

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Book 2009Thus, a “red thread“ ties the book together, weaving a tapestry that pictures the ‘natural’ data-driven AI methods in the light of the more traditional modeling techniques, and demonstrating the power of these data-based methods..

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Artificial Intelligence Methods in the Environmental Sciences978-1-4020-9119-3

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Haruka Ogawa,Devin Gilbert,Samar Almazroeisics underlying natural phenomena. For instance, a modern understanding of “Red at night, sailor‘s delight” is based on the theory of Mie scattering. Light rays are scattered by large dry dust particles to the west in the setting sun. According to this theory, large particles tend to scatter the lon

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Arndt Heilmann,Carme Llorca-Bofíther AI and statistics are, or are not, the same. One characterization that is probably reasonable is that the difference between AI techniques and traditional statistics is not in kind, but in degree. In other words, one may argue that most techniques belong to a continuum, but with different techn

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Haruka Ogawa,Devin Gilbert,Samar Almazroeion..The process of obtaining or collecting the values that the physical variables take in an event is also known by other names such as extracting features (or feature variables) and making measurements of the variables. The variables are also called by other names such as features, feature variable

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Representation in Plural Societiesthe overfitting problem associated with NLPCA in Section 8.3, and the extension of NLPCA to closed curve solutions in Section 8.4. MATLAB codes for NLPCA are downloadable from http://www.ocgy. ubc.ca/projects/clim.pred/download.html.The discrete approach by self-organizing maps is presented in Secti