Neural Networks Historical Review

D. Andina (), A. Vega-Corona (), J. I. Seijas () and J. Torres-Garcìa
Additional contact information
D. Andina: Universidad Politècnica de Madrid (UPM), Departamento de Señales, Sistemas y Radiocomunicaciones (SSR)
A. Vega-Corona: Universidad de Guanajuato (UG), Facultad de Ingenierìa, Mecànica, Elèctrica y Electrònica (FIMEE)
J. I. Seijas: Universidad Politècnica de Madrid (UPM), Departamento de Señales, Sistemas y Radiocomunicaciones (SSR)
J. Torres-Garcìa: Universidad Politècnica de Madrid (UPM), Departamento de Señales, Sistemas y Radiocomunicaciones (SSR)

Chapter Chapter 2 in Computational Intelligence, 2007, pp 39-65 from Springer

Abstract: This chapter starts with a historical summary of the evolution of Neural Networks from the first models which are very limited in application capabilities to the present ones that make possible to think in applying automatic process to tasks that formerly had been reserved to the human intelligence. After the historical review, Neural Networks are dealt from a computational point of view. This perspective helps to compare Neural Systems with classical Computing Systems and leads to a formal and common presentation that will be used throughout the book

Keywords: Neural Network; Artificial Neural Network; Output Layer; Input Vector; Little Mean Square (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-0-387-37452-9_2

Ordering information: This item can be ordered from
http://www.springer.com/9780387374529

DOI: 10.1007/0-387-37452-3_2

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().