Artificial neural network tools for computerised data modeling and processing

Author

Krenek, Jiri ; Kuca, Kamil ; Krejcar, Ondrej ; Maresova, Petra ; Sobeslav, V. ; Blazek, Pavel

Author_Institution

Center for Basic & Appl. Res., Univ. of Hradec Kralove, Hradec Kralove, Czech Republic

fYear

2014

fDate

19-21 Nov. 2014

Firstpage

255

Lastpage

260

Abstract

Artificial Neural Networks (ANN) represent progressive method for information processing. Due to their capability to solve complex problems by manipulation of high volume data the designation, training and usage of ANN requires computer environment. Due to the wide possibilities of ANN in current data processing, many of SW solutions can be used while the problem is in finding the best suitable for desired problem. This paper reviews available special ANN software separated in various categories specified by licensing policy, the software environment, etc. The article focuses namely on open source license variations. It compares different user interfaces from simple diagram-like visual designs to special programming language scripting. Contribution of this paper is to give to reader a complex summary on which ANN SW is the best suitable for a specific problem.

Keywords

data handling; data models; neural nets; ANN SW; ANN software; artificial neural network tools; computer environment; computerised data modeling; computerised data processing; diagram-like visual designs; information processing; licensing policy; open source license variations; programming language scripting; software environment; user interfaces; Artificial neural networks; Java; Licenses; Mathematical model; Software; Training; artificial neural network; data processing; licensing;open source; simulations; software;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Informatics (CINTI), 2014 IEEE 15th International Symposium on

Conference_Location

Budapest

Type

conf

DOI

10.1109/CINTI.2014.7028685

Filename

7028685