IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-662-04335-6_2.html
   My bibliography  Save this book chapter

Artificial Neural Networks

In: Soft Computing

Author

Listed:
  • Andrea Tettamanzi

    (University of Milan, Information Technology Department)

  • Marco Tomassini

    (University of Lausanne, Computer Science Institute)

Abstract

THE functioning of the brain has always fascinated people. The human brain, and also the brain of some animals, is indeed capable of astonishing achievements such as remembering, recognizing patterns, and associating, among many others. The way in which these tasks are performed appears to be quite different in nature from standard computation as we know it, that is, in the Turing sense [146]. Indeed, the brain is a massively parallel, highly connected assemblage of an astronomical number of slow processing units that collectively work on these difficult tasks and allow us to function smoothly and effortlessly. These units or cells are called neurons, they are of several different types, and they work in an analog way by propagating electrical currents of chemical origin along connections. The details of how neurons function are very intricate and need not concern us here but the main points are simple and worth some study. The neuron has three main components: the soma, the dendrites, and the axon (Figure 2.1).

Suggested Citation

  • Andrea Tettamanzi & Marco Tomassini, 2001. "Artificial Neural Networks," Springer Books, in: Soft Computing, chapter 0, pages 49-81, Springer.
  • Handle: RePEc:spr:sprchp:978-3-662-04335-6_2
    DOI: 10.1007/978-3-662-04335-6_2
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-662-04335-6_2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.