Isbn: 9780471353492 - regularized radial-basis function networks: theory and applications (14 risultati)

Condizione: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Condizione: Very Good. 1st Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.…

Condizione: New. pp. xvi + 191 1st Edition.

Condizione: New. pp. xvi + 191 Illus.

Condizione: New.

Condizione: New. In English.

Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: New. This title deals with the design of Radial Basis Function Networks (RBFNs), one of two classes of feedforward networks with applications in artificial neural networks, for particular tasks. These applications are in such engineering problems as nonlinear process estimation and control. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 208 pages, references. BIC Classification: TJK; UT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 165 x 17. Weight in Grams: 444. . 2001. Hardback. . . . .…

Condizione: New. To serve as a bridge between nonparametric estimation and artificial neural networks, Yee.and Haykin.examines the interplay of ides in the two ideas. (SciTech Book News Vol. 25, No. 2 June 2001)Simon Haykin is a well-known author of books on neura.

Condizione: New. This title deals with the design of Radial Basis Function Networks (RBFNs), one of two classes of feedforward networks with applications in artificial neural networks, for particular tasks. These applications are in such engineering problems as nonlinear process estimation and control. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 208 pages, references. BIC Classification: TJK; UT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 165 x 17. Weight in Grams: 444. . 2001. Hardback. . . . . Books ship from the US and Ireland.…

Hardcover. Condizione: Brand New. 191 pages. 9.25x6.25x0.75 inches. In Stock.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condizione: new. Hardcover. Simon Haykin is a well-known author of books on neural networks. * An authoritative book dealing with cutting edge technology. * This book has no competition. Simon Haykin is a well-known author of books on neural networks. An authoritative book dealing with cutting edge technology. This book has no competition. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. PRINT ON DEMAND pp. xvi + 191.