New type of RBF networks for imaging 2D points

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86075284" target="_blank" >RIV/61989100:27240/10:86075284 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
New type of RBF networks for imaging 2D points
Original language description
The paper demonstrates new approach of rendering the graph point series called gantts. The gantts are placed in the two dimensional graph which contains the information about available production sources in the real manufacturing process. The gantt is defined as one-dimensional coloured dash, which has unique position. To have the interaction with a user, gantts are accompanied with the description text giving detailed information about each gantt. All gantt descriptions must be displayed without overlapping with each other. To optimise this task, the modified version of the RBF neural network with biases is applied. With respect to the similarity to the RBF structure, the new type of neural network is named RBF 2. We also give the picture of positiveand negative attributes of the solution based on the neural network architecture.
Czech name
—
Czech description
—

Project
<a href="/en/project/1M06047" target="_blank" >1M06047: Research Center for Quality and Reliability of Production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
MENDEL 2010 - 16th International Conference on Soft Computing
ISBN
978-80-214-4120-0
ISSN
1803-3814
e-ISSN
—
Number of pages
5
Pages from-to
—
Publisher name
VUT Brno
Place of publication
Brno
Event location
VUT Brno
Event date
Jun 23, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000288144100036

Similar results(10)