CAINN - Weightless Alpha-Beta Neural Network

Author

Alarcon-Paredes, A. ; Arguelles-Cruz, A.-J.

Author_Institution

Center for Comput. Res. (CIC), Nat. Polytech. Inst. (IPN), Mexico City

fYear

2008

fDate

Sept. 30 2008-Oct. 3 2008

Firstpage

434

Lastpage

438

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.

Keywords

artificial intelligence; neural nets; computing artificial intelligence neural network; generalized alpha operations; pattern learning; pattern recalling algorithms; sigma-alpha operations; sigma-beta operations; weightless alpha-beta neural network; Artificial intelligence; Artificial neural networks; Automotive engineering; Computer networks; Machine learning; Neural networks; Neurons; Read-write memory; Robots; Simultaneous localization and mapping; adam; alfa; alpha; beta; cainn; generalized; iris; network; neural; pattern; plant; recognition; sigma; weightless;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08

Conference_Location

Morelos

Print_ISBN

978-0-7695-3320-9

Type

conf

DOI

10.1109/CERMA.2008.94

Filename

4641110