处理混沌:神经网络和模糊逻辑——信息时代构建产品的工具

J. Huffman
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引用次数: 2

摘要

神经网络、模糊逻辑等工具提供了第一个粗糙的计算工具来处理世界的非线性和复杂性。最近一篇关于神经网络的论文讨论了在其维度空间中分离点的问题。就在几年前,这种想法对我们来说是不可理解的,而现在这样的成就被认为是理所当然的。混沌理论、反混沌、复杂性等都是必须处理复杂性才能蓬勃发展的领域。他们承诺向我们展示更好的方法来理解和处理我们复杂的宇宙。有人提出,这些计算工具至少是让我们更好地掌握我们对复杂性的理解的第一次粗略尝试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dealing with chaos: neural nets and fuzzy logic-tools for building products in the information age
The tools of neural networks, fuzzy logic, and the like are providing the first crude computational tools to deal with the nonlinear and complex nature of the world. A recent paper on neural nets talked about separating points in its dimensional space. The idea was incomprehensible to us only a few years ago and now such accomplishments are taken for granted. Chaos theory, antichaos, complexity and so on are fields that must deal with complexity to thrive. They promise to show us even better ways to understand and deal with our complex universe. It is proposed that these computational tools are at least the first crude attempts to allow us to better master our understanding of complexity.<>
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