Alpha-Beta Weightless Neural Networks

  • Authors:
  • Amadeo José Arguelles-Cruz;Itzamá López-Yáñez;Mario Aldape-Pérez;Napoleón Conde-Gaxiola

  • Affiliations:
  • IPN Centro de Investigación en Computación, Juan de Dios Bátiz s/n esq. Miguel Othón de Mendizábal, Unidad Profesional Adolfo López Mateos, Del. Gustavo A. Madero, D. ...;IPN Centro de Investigación en Computación, Juan de Dios Bátiz s/n esq. Miguel Othón de Mendizábal, Unidad Profesional Adolfo López Mateos, Del. Gustavo A. Madero, D. ...;IPN Centro de Investigación en Computación, Juan de Dios Bátiz s/n esq. Miguel Othón de Mendizábal, Unidad Profesional Adolfo López Mateos, Del. Gustavo A. Madero, D. ...;IPN Centro de Investigación en Computación, Juan de Dios Bátiz s/n esq. Miguel Othón de Mendizábal, Unidad Profesional Adolfo López Mateos, Del. Gustavo A. Madero, D. ...

  • Venue:
  • CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

A novel weightless neural network model is presented, based on the known operations Alpha and Beta, and three original operations proposed. The new model of weightless neural network has been called CAINN --- Computing Artificial Intelligent Neural Network. The experimental aspect is presented by applying the CAINN model to several known databases. Also, comparative studies about the performance of the CAINN model concerning ADAM weightless neural network and other models are reported. Results exhibit the superiority of the CAINN model over the ADAM model, its counterpart as a weightless neural network; and over other models immersed in the state of the art of neural networks; taking into account the No Free Lunch theorem.