|
|
|
|
||
|
HELP | |
|
On Order $120.25
New Hardcover
Currently out of stock.
 available for shipping or prepaid pickup only
Neural Networks for Applied Sciences and Engineeringby Sandhya Samarasinghe
Synopses & ReviewsPublisher Comments:In response to an increasing demand for novel computing methods, Neural Networks for Applied Sciences and Engineering provides a simple but systematic introduction to neural networks applications. This book features case studies that use real data to demonstrate practical applications. It contains in-depth discussions of data and model validation issues along with uncertainty and sensitivity assessment of models as well as data dimensionality and methods to reduce dimensionality. It provides detailed coverage of neural network types for extracting nonlinear patterns in multi-dimensional scientific data in prediction, classification, clustering and forecasting with an extensive coverage on linear networks, multi-layer perceptron, self organization maps, and recurrent networks.
Book News Annotation:Samarasinghe (natural resources engineering, Lincoln U., New Zealand)
describes how neural networks are used to find patterns in scientific
data. Beginning with the basics, she explains a variety of neural
networks' internal workings, and how to apply them to solve real
problems. Among the types are Multilayer Perceptron for predictions
and classification, Self-Organizing Feature Maps for unsupervised
clustering, and Recurrent Networks for understanding and forecasting
time-series. Distributed in the US by Taylor and Francis.
Annotation ©2006 Book News, Inc., Portland, OR (booknews.com) What Our Readers Are SayingBe the first to add a comment for a chance to win!Product Details
Related Aisles
| |||||||||
|
| ||||||||||
|
||||||||||
Don't Miss
