A framework for the definition and generation of artificial neural networks

  • Authors:
  • Diego Ordóñez;Carlos Dafonte;Bernardino Arcay;Minia Manteiga

  • Affiliations:
  • University of A Coruña, Department of Information and Communications Technologies, A Coruña, Spain;University of A Coruña, Department of Information and Communications Technologies, A Coruña, Spain;University of A Coruña, Department of Information and Communications Technologies, A Coruña, Spain;University of A Coruña, Department Navigation and Earth Sciences, A Coruña, Spain

  • Venue:
  • ACS'06 Proceedings of the 6th WSEAS international conference on Applied computer science
  • Year:
  • 2006

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Abstract

Current platforms for the definition and operation of artificial neural networks are oriented towards a specialized user profile. This article proposes a series of software components that provide abstraction in platform development, both with regard to the implementation of the components and the operation of the network that was chosen to resolve a problem. This proposal has the ambitious purpose of minimizing the learning curve of the tools and providing a framework that is oriented towards a more generic user profile. The framework is composed by three systems: a library, in which we factorize the functionalities related to the networks, and two tools, an interpreter and aWeb application, which provide two different points of view for the development of the networks, but both rely on the library to provide the features related to the ANNs.