English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Unsupervised learning of a kinematic arm model

Hoffmann, H., & Möller, R. (2003). Unsupervised learning of a kinematic arm model. Artificial Neural Networks and Neural Information Processing, 463-470.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0010-E6EA-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-E953-C
Genre: Conference Paper

Files

show Files

Locators

show

Creators

show
hide
 Creators:
Hoffmann, Heiko1, Author           
Möller, Ralf1, Author           
Affiliations:
1MPI for Psychological Research (Munich, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634573              

Content

show

Details

show
hide
Language(s):
 Dates: 2003
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 393161
Other: P5076
 Degree: -

Event

show
hide
Title: Joint International Conference on Artificial Neural Networks (ICANN)/International on Neural Information Processing (ICONIP)
Place of Event: ISTANBUL, TURKEY
Start-/End Date: 2002-06-26 - 2002-06-29

Legal Case

show

Project information

show

Source 1

show
hide
Title: Artificial Neural Networks and Neural Information Processing
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 463 - 470 Identifier: -

Source 2

show
hide
Title: ARTIFICAIL NEURAL NETWORKS AND NEURAL INFORMATION PROCESSING - ICAN/ICONIP 2003
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 463 - 470 Identifier: -

Source 3

show
hide
Title: LECTURE NOTES IN COMPUTER SCIENCE
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -