伽马分类器在环境数据预测中的应用

2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08) Pub Date : 2008-09-30 DOI:10.1109/CERMA.2008.35

I. Lopez-Yaez, C. Yaez-Marquez, G. D. L. Saenz-Morales

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引用次数: 3

摘要

利用人工智能对环境数据进行分析已经成为一个相当活跃的科学研究领域。在这一领域有重要应用的一些技术是神经网络、遗传算法和其他模式分类算法，如支持向量机。本文将最近提出的一种模式识别的关联方法应用于墨西哥城的环境数据。

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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Application of the Gamma Classifier to Environmental Data Prediction

Analysis of environmental data by means of Artificial Intelligence has become a quite active area of scientific research. Some techniques which have found important application in this area are neural networks, genetic algorithms, and other pattern classifier algorithms, such as SVMs. In the current paper, a member of the Associative Approach of pattern recognition of recent proposal is applied to environmental data from Mexico City.

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

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