神经网络和模糊逻辑提供了一种新的系统视图

J. Huffman
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引用次数: 0

摘要

现代模糊逻辑和神经网络技术的基础是真值,或类隶属度,或主观驱动的加权链接。研究人员认为,这些技术更接近于人类用于思考和控制的模式。因此,神经、模糊、遗传算法等被称为“自然计算”或“软计算”。当设计师理解了潜在的功能,他/她就可以找到方法将这些技术应用到涉及高度复杂性和非线性的难题中。本文试图对基于自然计算工具的可访问性重命名问题空间的思想提供一些见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural nets and fuzzy logic provide a new systems view
The modern technologies of fuzzy logic and neural networks have underpinnings in truth values, or degrees of class membership, or subjectively driven weighted links. Researchers believe the technologies are closer to operating in the modes that humans use for thought and control. For this reason neural, fuzzy, genetic algorithms and the like are being called "natural computing", or "soft computing". When a designer understands the underlying functionality, he/she can find ways to apply the technologies to difficult problems involving high levels of complexity and non-linearity. This paper attempts to provide some insight into the idea of renaming the problem space based on the accessibility of natural computing tools.
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