DocumentCode :
3485236
Title :
A services-oriented architecture applied to artificial neural network
Author :
Laforga, Gilson Fernando ; Romero, Roseli Franceh
Volume :
5
fYear :
2002
fDate :
18-22 Nov. 2002
Firstpage :
2650
Abstract :
In this work, a services-oriented architecture that allows the utilization of artificial neural network models, through the Internet, is proposed. The Web Services, the Message Queuing and the Neural Network Markup Language constitute the technology used for the development of this approach. The module called by Artificial Neural Network-Web Service is the main module of the proposed architecture. It is an independent module, that accepts as entrance a description of the ANN characteristics and the necessary data to its training in a neural network markup language format returning as result the trained ANN. A main advantage of this approach is that any user can invoke this application programmatically over the Internet, without that it needs to have a computer with great capacity of processing.
Keywords :
Internet; Web sites; XML; access protocols; application program interfaces; client-server systems; neural nets; open systems; simulation; Internet; Simple Object Access Protocol; URI; Web services; Web-accessible API; XML; artificial neural network models; high-level architecture; independent module; interconnected assembly; interoperability; message queuing; module library; neural network markup language; services-oriented architecture; simulation tools; software components; standard programming model; very lightweight protocol; wire protocol; Application software; Artificial neural networks; Computational modeling; IP networks; Markup languages; Service oriented architecture; Software standards; Web and internet services; Web services; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
Type :
conf
DOI :
10.1109/ICONIP.2002.1201976
Filename :
1201976
Link To Document :
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