A tool for fast development of modular and hierarchic neural network-based systems

• Type: Article in International Conference Proceedings Book
• Date: 2005

Authors

Francisco Reinaldo (Author) Other; Mauro Roisenberg (Author) Other; Jorge Muniz Barreto (Author) Other; Rui Camacho (Author) FEUP; Luís Paulo Reis (Author) FEUP

Conference proceedings International

Title: Modelling and Simulation 2005

Pages: 161-163

European Simulation and Modelling Conference (ESM 2005)

Oporto, PORTUGAL, OCT 24-26, 2005

Indexing

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INSPEC

Scientific classification

FOS: Natural sciences > Computer and information sciences

CORDIS: Technological sciences > Engineering > Knowledge engineering

Other information

Authenticus ID: P-000-69H

Abstract (EN): This paper presents the PyrantidNet Tool its a fast and easy way to develop Modular and Hierarchic Neural Network-based Systems. This tool facilitates the fast emergence of autonomous behaviours in agents because it uses a hierarchic and modular control methodology of heterogeneous learning modules: the pyramid. Using the graphical resources of PyramidNet the user is able to specify a behaviour system even having little understanding of artificial neural networks. Experimental tests have shown that a very significant speedup is attained in the development of modular and hierarchic neural network-based systems when using this tool.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4