Treffer: NEUROPH - SOFTVERSKI FREJMVORK OTVORENOG KODA ZA RAZVOJ NEURONSKIH MREŽA.

Title:
NEUROPH - SOFTVERSKI FREJMVORK OTVORENOG KODA ZA RAZVOJ NEURONSKIH MREŽA.
Alternate Title:
NEUROPH - AN OPEN SOURCE SOFTWARE FRAMEWORK FOR NEURAL NETWORK DEVELOPMENT. (English)
Authors:
Source:
InfoM; 2012, Issue 43, p40-44, 5p, 3 Black and White Photographs, 1 Diagram, 2 Charts
Database:
Complementary Index

Weitere Informationen

Neuroph is an open source Java neural network framework, developed at the Faculty of Organisational Sciences, University of Belgrade. It provides a set of Java classes and a GUI tool for working with neural networks. It has a clear structure and,is easy to learn and modify, which makes Neuroph very suitable for research and educational applications. It is being used for research and teaching neural networks at Faculty of organisational sciences. This paper gives an overview of the Neuroph project, its features, design, application examples and comparison with other similar solutions [ABSTRACT FROM AUTHOR]

Neuroph je softverski frejmvork otvorenog koda za razvoj neuronskih mreža, napisan u programskom jeziku Java. Sadrži biblioteku Java klasa i integrisano grafičko razvojno okruženje za razvoj neuronskih mreža. Zahvaljujući jednostavnoj i jasnoj strukturi (dizajnu softvera), frejmvork se može brzo savladati, i relativno jednostavno modifikovati, što ga čini veoma pogodnim za primenu u istraživanju i edukaciji. Razvijen je na Fakultetu organizacionih nauka u Beogradu, gde se koristi u nastavi i istraživačkim projektima. U ovom radu dati su pregled glavnih karakteristika softvera, primeri primene i poređenje sa drugim sličnim rešenjima. [ABSTRACT FROM AUTHOR]

Copyright of InfoM is the property of Belgrade University, Faculty of Organizational Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)