Analysis of Algorithms for Radial Basis Function Neural Network

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F07%3APU70369" target="_blank" >RIV/00216305:26210/07:PU70369 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Analysis of Algorithms for Radial Basis Function Neural Network

Original language description

The contribution describes the analysis of algorithms for the hidden layer construction of network and for learning of the Radial Basis Function neural network (RBFN). We compared results obtained by a using of learning algorithms LMS (Least Mean Square)and gradient algorithms and results obtained by a using of algorithms APC-III and K-means for hidden layer contruction of neural network. The principles and algorithms given below have been used in an application for object classification that was developed at Brno University of Technology.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2007

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Personal Wireless Communications

ISSN

1861-2288

e-ISSN

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Volume of the periodical

2007

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

9

Pages from-to

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UT code for WoS article

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EID of the result in the Scopus database

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