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

Introduction To Computational Neurobiology And Clustering Series On Advances In Mathematics For Applied Sciences 1st Edition Brunello Tirozzi

  • SKU: BELL-2116736
Introduction To Computational Neurobiology And Clustering Series On Advances In Mathematics For Applied Sciences 1st Edition Brunello Tirozzi
$ 31.00 $ 45.00 (-31%)

5.0

78 reviews

Introduction To Computational Neurobiology And Clustering Series On Advances In Mathematics For Applied Sciences 1st Edition Brunello Tirozzi instant download after payment.

Publisher: World Scientific Publishing Company
File Extension: PDF
File size: 3.52 MB
Pages: 242
Author: Brunello Tirozzi, Daniela Bianchi, Enrico Ferraro
ISBN: 9812705392
Language: English
Year: 2007
Edition: 1

Product desciption

Introduction To Computational Neurobiology And Clustering Series On Advances In Mathematics For Applied Sciences 1st Edition Brunello Tirozzi by Brunello Tirozzi, Daniela Bianchi, Enrico Ferraro 9812705392 instant download after payment.

This volume provides students with the necessary tools to better understand the fields of neurobiological modeling, cluster analysis of proteins and genes. The theory is explained starting from the beginning and in the most elementary terms, there are many exercises solved and not useful for the understanding of the theory. The exercises are specially adapted for training and many useful Matlab programs are included, easily understood and generalizable to more complex situations. This self-contained text is particularly suitable for an undergraduate course of biology and biotechnology. New results are also provided for researchers such as the description and applications of the Kohonen neural networks to gene classification and protein classification with back propagation neutral networks.

Related Products