模糊ARTMAP网络在计算机伺服系统中的应用与分析

Rui Yang
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引用次数: 1

摘要

从运算逻辑的角度来看,机器学习本质上是采用函数的方式,将机器学习的问题转化为函数问题,然后通过求解目标函数来实现机器学习。求解目标函数最重要的工具是优化算法。为了加快训练过程,有必要在大数据背景下设计并行分布式优化算法。近年来,许多研究人员对这一问题进行了广泛的研究,一些研究成果已被广泛应用于机器学习的实践中。
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Application and Analysis of Fuzzy ARTMAP Network in Computer Servo System
From the perspective of operational logic, machine learning essentially uses the way of function, transforms the problem of machine learning into a function problem, and then implements machine learning by solving the objective function. The most important tool in solving the objective function is the optimization algorithm. In order to speed up the training process, it is necessary to design a parallel and distributed optimization algorithm in the context of big data. In recent years, many researchers have carried out extensive research on this issue, and some research results have been widely applied to the practice of machine learning.
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