Scaling Fuzzy Models

Scalable Fuzzy Algorithms for Data Management and Analysis Pub Date : 1900-01-01 DOI:10.4018/978-1-60566-858-1.CH002

L. Hall, Dmitry Goldgof, Juana Canul-Reich, Prodip Hore, Weijian Cheng, L. Shoemaker

引用次数: 2

Abstract

Scaling fuzzy learning systems can be a challenge, because the search space for fuzzy models is larger than that of crisp models. Here, we are concerned with scaling fuzzy systems as the size of the data grows. There are now many collections of data that are terabytes in size and we are moving towards petabyte collections such as a digital Sloan sky survey (Giannella et al., 2006, Gray and Szalay, 2004). AbsTRACT

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缩放模糊模型

缩放模糊学习系统可能是一个挑战，因为模糊模型的搜索空间比清晰模型的搜索空间大。在这里，我们关注的是随着数据规模的增长而缩放模糊系统。现在有许多tb级的数据集，我们正在向pb级的数据集发展，比如数字斯隆巡天(Giannella et al.， 2006; Gray and Szalay, 2004)。摘要

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Scalable Fuzzy Algorithms for Data Management and Analysis

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