logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Constructive Neural Networks 1st Edition Maria Do Carmo Nicoletti

  • SKU: BELL-4193450
Constructive Neural Networks 1st Edition Maria Do Carmo Nicoletti
$ 31.00 $ 45.00 (-31%)

4.4

32 reviews

Constructive Neural Networks 1st Edition Maria Do Carmo Nicoletti instant download after payment.

Publisher: Springer-Verlag Berlin Heidelberg
File Extension: PDF
File size: 6.37 MB
Pages: 293
Author: Maria do Carmo Nicoletti, João R. Bertini Jr. (auth.), Leonardo Franco, David A. Elizondo, José M. Jerez (eds.)
ISBN: 9783642045110, 9783642045127, 3642045111, 364204512X
Language: English
Year: 2009
Edition: 1

Product desciption

Constructive Neural Networks 1st Edition Maria Do Carmo Nicoletti by Maria Do Carmo Nicoletti, João R. Bertini Jr. (auth.), Leonardo Franco, David A. Elizondo, José M. Jerez (eds.) 9783642045110, 9783642045127, 3642045111, 364204512X instant download after payment.

The book is a collection of invited papers on Constructive methods for Neural networks. Most of the chapters are extended versions of works presented on the special session on constructive neural network algorithms of the 18th International Conference on Artificial Neural Networks (ICANN 2008) held September 3-6, 2008 in Prague, Czech Republic.

The book is devoted to constructive neural networks and other incremental learning algorithms that constitute an alternative to standard trial and error methods for searching adequate architectures. It is made of 15 articles which provide an overview of the most recent advances on the techniques being developed for constructive neural networks and their applications. It will be of interest to researchers in industry and academics and to post-graduate students interested in the latest advances and developments in the field of artificial neural networks.

Related Products