Automatic Induction of Machine Code (AIM) Learning Real Time Adaptive Control Strategies

机译：机器码（AIM）的自动归纳学习实时自适应控制策略

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摘要

Advances in speed and computerized learning methods represented by AIM Learning Technologies~(TM) make real time learning and control possible and effective.

机译：以AIM学习技术（TM）为代表的速度和计算机学习方法的进步使实时学习和控制成为可能和有效。

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《17th Anniversary of the International Simulatros Conference, Apr 16-20, 2000, Washington, D.C.》|2000年|p.9-12|共4页
会议地点 Washington DC(US);Washington DC(US)
作者
Frank D. Francone; Peter Nordin; Wolfgang Banzhaf; Larry M. Deschaine;
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作者单位

RML Technologies, Inc. 360 Grand Avenue Oakland, CA;

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会议组织
原文格式 PDF
正文语种 eng
中图分类农业经济;
关键词
automatic control; industrial control; model design; genetic programming; machine learning;

机译：自动控制;工业控制模型设计；基因编程；机器学习;

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Automatic Induction of Machine Code (AIM) Learning Real Time Adaptive Control Strategies

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