CAINN -失重α - β神经网络

2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08) Pub Date : 2008-09-30 DOI:10.1109/CERMA.2008.94

A. Alarcón-Paredes, A. Arguelles-Cruz

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引用次数: 0

摘要

本文提出了一种基于已知操作Alpha和Beta的无权重神经网络模型。这种失重的Alpha-Beta神经网络模型被称为CAINN——计算人工智能神经网络。基于ADAM失重神经网络模型，给出了广义Alpha、Sigma-Alpha和Sigma-Beta操作，建立了CAINN的模式学习和召回算法。最后给出了对CAINN性能的研究。这些研究报告了CAINN模型的可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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CAINN - Weightless Alpha-Beta Neural Network

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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2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)

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