对基于自学习功能的计算机辅助医学诊断专家系统的应用进行研究。
To research on the application of computer-aided diagnosis expert system based on machine adaptive learning.
基于数据挖掘的入侵检测系统具有一定的自学习性和自完善性，可以检测已知或未知的入侵行为。
IDS based on data mining has the functions of self -learning and self -completing, it can detect the know and unknown intrusion activities.
对相联存储自学习控制系统(AMLCS)提出了一种改进方案，可用于动态特性几乎完全未知且慢时变的工业过程。
This paper proposes an improved version of the associative memory learning control system (AMLCS) for industrial processes with almost completely unknown but slowly time-varying dynamics.
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