Skip to main content

The Perceptron Network

  • Chapter
  • First Online:
Artificial Neural Networks

Abstract

The Perceptron , created by Rosenblatt , is the simplest configuration of an artificial neural network ever created, whose purpose was to implement a computational model based on the retina, aiming an element for electronic perception. One application of the Perceptron was to identify geometric patterns.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ivan Nunes da Silva .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this chapter

Cite this chapter

da Silva, I.N., Hernane Spatti, D., Andrade Flauzino, R., Liboni, L.H.B., dos Reis Alves, S.F. (2017). The Perceptron Network. In: Artificial Neural Networks . Springer, Cham. https://doi.org/10.1007/978-3-319-43162-8_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-43162-8_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43161-1

  • Online ISBN: 978-3-319-43162-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics