In the electrical engineering field, a neural network refers to interconnecting artificial neurons that mimic the properties of biological neurons to perform sophisticated, intelligent tasks. This authoritative reference offers a comprehensive understanding of the underpinnings and practical applications of artificial neural networks and their use in the retrieval of geophysical parameters. Professionals find expert guidance on the development and evaluation of neural network algorithms that process data from a new generation of hyperspectral sensors. Engineers discover how to use neural networks to approximate remote sensing inverse functions with emphasis on model selection, preprocessing, initialization, training, and performance evaluation.
- ISBN10 1596933720
- ISBN13 9781596933729
- Publish Date 30 June 2009
- Publish Status Active
- Publish Country US
- Imprint Artech House Publishers
- Edition Unabridged edition
- Format Hardcover
- Pages 234
- Language English