With sufficient rigor and generality, the book promotes a qualitative understanding of the development of key ideas. It facilitates a deep appreciation of the important nuances and restrictions implicit in the algorithms that affect the validity of the results produced. The text features benchmark problems throughout to offer insights and illustrate some of the computational implications. The authors provide a framework for understanding the advantages, drawbacks, and application areas of existing and new algorithms for input-output approximation. They also present novel adaptive learning algorithms that can be adjusted in real time to the various parameters of unknown mathematical models.
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With sufficient rigor and generality, the book promotes a qualitative understanding of the development of key ideas. It facilitates a deep appreciation of the important nuances and restrictions implicit in the algorithms that affect the validity of the results produced. The text features benchmark problems throughout to offer insights and illustrate some of the computational implications. The authors provide a framework for understanding the advantages, drawbacks, and application areas of existing and new algorithms for input-output approximation. They also present novel adaptive learning algorithms that can be adjusted in real time to the various parameters of unknown mathematical models.
Imprint | Chapman & Hall/CRC |
Country of origin | United States |
Series | Chapman & Hall/CRC Applied Mathematics & Nonlinear Science |
Release date | August 2008 |
Availability | Expected to ship within 12 - 17 working days |
First published | 2009 |
Authors | Puneet Singla, John L. Junkins |
Dimensions | 234 x 156 x 20mm (L x W x T) |
Format | Hardcover |
Pages | 320 |
ISBN-13 | 978-1-58488-769-0 |
Barcode | 9781584887690 |
Categories | |
LSN | 1-58488-769-9 |