CAINN - Weightless alpha-beta neural network

Antonio Alarcón-Paredes; Amadeo José Argüelles-Cruz

doi:10.1109/CERMA.2008.94

CAINN - Weightless alpha-beta neural network

Antonio Alarcón-Paredes, Amadeo José Argüelles-Cruz

Centro de Investigación en Computación (CIC)

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

In this paper, a weightless neural network model is presented, based on the known operations Alpha and Beta. This weightless Alpha-Beta neural network model is called CAINN - Computing Artificial Intelligence Neural Network. The CAINN's pattern learning and recalling algorithms are created given the Generalized Alpha, Sigma-Alpha, and Sigma-Beta operations, based on the ADAM weightless neural network model. Studies of the CAINN performance are shown. These studies report the reliability of the CAINN model.

Original language	English
Pages	434-438
Number of pages	5
DOIs	https://doi.org/10.1109/CERMA.2008.94
State	Published - 2008
Event	Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008 - Cuernavaca, Morelos, Mexico Duration: 30 Sep 2008 → 3 Oct 2008

Conference

Conference	Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008
Country/Territory	Mexico
City	Cuernavaca, Morelos
Period	30/09/08 → 3/10/08

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10.1109/CERMA.2008.94

Cite this

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abstract = "In this paper, a weightless neural network model is presented, based on the known operations Alpha and Beta. This weightless Alpha-Beta neural network model is called CAINN - Computing Artificial Intelligence Neural Network. The CAINN's pattern learning and recalling algorithms are created given the Generalized Alpha, Sigma-Alpha, and Sigma-Beta operations, based on the ADAM weightless neural network model. Studies of the CAINN performance are shown. These studies report the reliability of the CAINN model.",

author = "Antonio Alarc{\'o}n-Paredes and Arg{\"u}elles-Cruz, {Amadeo Jos{\'e}}",

year = "2008",

doi = "10.1109/CERMA.2008.94",

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AU - Argüelles-Cruz, Amadeo José

PY - 2008

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AB - In this paper, a weightless neural network model is presented, based on the known operations Alpha and Beta. This weightless Alpha-Beta neural network model is called CAINN - Computing Artificial Intelligence Neural Network. The CAINN's pattern learning and recalling algorithms are created given the Generalized Alpha, Sigma-Alpha, and Sigma-Beta operations, based on the ADAM weightless neural network model. Studies of the CAINN performance are shown. These studies report the reliability of the CAINN model.

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DO - 10.1109/CERMA.2008.94

M3 - Artículo

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T2 - Proceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008

Y2 - 30 September 2008 through 3 October 2008

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CAINN - Weightless alpha-beta neural network

Abstract

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