Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks
Language: English
Published by THe MIT Press, Cambridge MA, 1995
- First Edition
- Hardcover
- Used
Seller: Row By Row Bookshop, Sugar Grove, NC, U.S.A.Row By Row Bookshop
AbeBooks seller since May 17, 1998
Condition: Used - Good
£ 19.30
Quantity: 1 available
Add to basketItem description from seller
An ex-library copy in original blue cloth. The usual ex-libris markings, and sun-fading to the spine and to the edges of the covers. The binding is sound, and the text is clean/unmarked. No dust jacket.
Seller Inventory # 063426
- Title
- Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks
- Author
- Dowla, Farid U., and Leah L. Rogers
- Publisher
- THe MIT Press, Cambridge MA
- Publication year
- 1995
- Condition
- Good
- Dust jacket
- No Dust Jacket
- Book Type
- Book
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0262041480
- ISBN 13
- 9780262041485
- Edition
- First Edition.
Farid Dowla and Leah Rogers have developed a number of ANN applications for researchers and students in hydrology and seismology. This book, complete with exercises and ANN algorithms, illustrates how ANNs can be used in solving problems in environmental engineering and the geosciences, and provides the necessary tools to get started using these elegant and efficient new techniques.
Following the development of four primary ANN algorithms (backpropagation, self-organizing, radial basis functions, and hopfield networks), and a discussion of important issues in ANN formulation (generalization properties, computer generation of training sets, causes of slow training, feature extraction and preprocessing, and performance evaluation), readers are guided through a series of straightforward yet complex illustrative problems. These include groundwater remediation management, seismic discrimination between earthquakes and underground explosions, automated monitoring for acoustic and seismic sensor data, estimation of seismic sources, geospatial estimation, lithologic classification from geophysical logging, earthquake forecasting, and climate change. Each chapter contains detailed exercises often drawn from field data that use one or more of the four primary ANN algorithms presented.
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About the Author
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Row By Row Bookshop
Sugar Grove, NC, U.S.A.
AbeBooks seller since May 17, 1998
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