A User-Friendly Framework for Multilanguage ANN Generation: Real Case Applications

Author

Ordóñez, D. ; Dafonte, C. ; Arcay, B. ; Manteiga, M.

Author_Institution

Univ. of A Coruna, A Coruna

fYear

2007

fDate

21-23 Aug. 2007

Firstpage

117

Lastpage

121

Abstract

This article presents a framework, developed in JAVA, that facilitates the design and implementation of artificial neural networks and provides automatic multilanguage code generation (ANSI C and JAVA). The framework consists of three systems: a library, in which we factorize network-related functionalities, and two tools, an interpreter and a Web application, that provide ANN-related features. The functioning of this tool was tested by applying it to two problems in two different fields.

Keywords

Internet; Java; interactive programming; neural nets; program compilers; program interpreters; programming environments; software libraries; JAVA; Web application; artificial neural network development environment; automatic multilanguage code generation; multilanguage ANN generation; network-related functionalities; program interpreter; software library; user-friendly framework; Artificial neural networks; Geoscience; Guidelines; Java; Mathematical model; Navigation; Neural networks; Software libraries; Software tools; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing Applications, 2007. SOFA 2007. 2nd International Workshop on

Conference_Location

Oradea

Print_ISBN

978-1-4244-1608-0

Electronic_ISBN

978-1-4244-1608-0

Type

conf

DOI

10.1109/SOFA.2007.4318315

Filename

4318315