By Vladimir M. Krasnopolsky
This publication brings jointly a consultant set of Earth method technological know-how (ESS) functions of the neural community (NN) method. It examines a development of atmospheric and oceanic difficulties, which, from the mathematical standpoint, should be formulated as complicated, multidimensional, and nonlinear mappings. it truly is proven that those difficulties could be solved using a selected form of NN – the multilayer perceptron (MLP). this sort of NN purposes covers the vast majority of NN purposes constructed in ESSs similar to meteorology, oceanography, atmospheric and oceanic satellite tv for pc distant sensing, numerical climate prediction, and weather reports. the most important homes of the mappings and MLP NNs are formulated and mentioned. additionally, the publication offers easy heritage for every brought software and offers an in depth set of references.
“This is a superb ebook to benefit the right way to observe man made neural community ways to earth approach sciences. the writer, Dr. Vladimir Krasnopolsky, is a universally well-known grasp during this box. along with his giant wisdom and event, he conscientiously publications the reader via a large number of difficulties present in the earth procedure sciences the place neural community equipment may be utilized fruitfully. (...) The wide variety of issues lined during this ebook guarantees that researchers/graduate scholars from many fields (...) will locate it a useful advisor to neural community methods.” (Prof. William W. Hsieh, college of British Columbia, Vancouver, Canada)
“Vladimir Krasnopolsky has been the “founding father” of making use of computation intelligence easy methods to environmental technological know-how; (...) Dr. Krasnopolsky has created a masterful exposition of a tender, but maturing box that can provide to strengthen a deeper realizing of top modeling practices in environmental science.” (Dr. Sue Ellen Haupt, nationwide middle for Atmospheric study, Boulder, USA)
“Vladimir Krasnopolsky has written an enormous and lovely booklet on purposes of neural networks to exchange complicated and costly computational algorithms inside of Earth procedure technological know-how versions. he's uniquely certified to put in writing this e-book, because he has been a real pioneer in regards to a lot of those functions. (...) Many different examples of inventive emulations will motivate not only readers attracted to the Earth Sciences, yet the other modeling practitioner (...) to handle either theoretical and useful advanced difficulties which may (or will!) come up in a fancy system." ” (Prof. Eugenia Kalnay, collage of Maryland, USA)