Comments on learning and adaptive machines for pattern recognition

C. Mays
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引用次数: 1

Abstract

By learning and adaptive machines I mean special purpose machines with internal components having adjustable values. The use of such machines for the solution of several kinds of problems has been proposed. These include the design of switching functions, the design of classification machines (classification machines is meant to imply recognition, prediction, decision and classification machines), automatic manufacturing of certain devices, self optimization of decision machines with time variable input statistics, improving the reliability of digital processes, and automatic wiring and testing of microcomponents. Most of the work to date has been on using learning machines to design switching functions and classification machines.
模式识别的学习和自适应机器评述
通过学习和自适应机器,我指的是具有可调节值的内部组件的特殊用途机器。已经提出使用这种机器来解决几种问题。其中包括开关功能的设计,分类机的设计(分类机意味着识别、预测、决策和分类机),某些设备的自动制造,具有时变输入统计的决策机的自优化,提高数字过程的可靠性,以及微元件的自动布线和测试。迄今为止,大部分工作都是利用学习机来设计开关功能和分类机。
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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