Radial Basis Function Networks
Howlett, Robert J.; Jain, Prof. Lakhmi C.
€ 194.92
FREE Delivery in Ireland
Description for Radial Basis Function Networks
Paperback. Series: Studies in Fuzziness and Soft Computing. Num Pages: 360 pages, 28 black & white tables, biography. BIC Classification: UYQP. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 20. Weight in Grams: 587.
The Radial Basis Function (RBF) network has gained in popularity in recent years. This is due to its desirable properties in classification and functional approximation applications, accompanied by training that is more rapid than that of many other neural-network techniques. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of applications areas, for example, robotics, biomedical engineering, and the financial sector. The two-title series Theory and Applications of Radial Basis Function ... Read more
The Radial Basis Function (RBF) network has gained in popularity in recent years. This is due to its desirable properties in classification and functional approximation applications, accompanied by training that is more rapid than that of many other neural-network techniques. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of applications areas, for example, robotics, biomedical engineering, and the financial sector. The two-title series Theory and Applications of Radial Basis Function ... Read more
Product Details
Format
Paperback
Publication date
2010
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
360
Condition
New
Series
Studies in Fuzziness and Soft Computing
Number of Pages
360
Place of Publication
Heidelberg, Germany
ISBN
9783790824834
SKU
V9783790824834
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Radial Basis Function Networks