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1)  Self-learning strategy
自学习机制
2)  self-learning machine
自学习机
3)  learning mechanism
学习机制
1.
Research on Knowledge Activities and Organization Learning Mechanism of Enterprises Dynamic Capabilities Evolution
企业动态能力形成的知识活动及其组织学习机制研究
2.
This paper probes into the necessity of learning mechanism and its relationship with a ceramic enterprise's innovation.
本文综述了学习机制和陶瓷企业的创新关系以及重要意义,认为陶瓷企业必须与时俱进,不断创新才能在市场经济中立于不败之地。
3.
The application study of expert system in optimizing the prediction of gas load is carried out,a model of expert system for prediction of gas load is put forward,and the knowledge representation,inference mechanism and learning mechanism in the model are discussed.
进行了专家系统在燃气负荷预测优化中的应用研究,提出了一个燃气负荷预测专家系统的模型,论述了模型中的知识表示、推理机制和学习机制。
4)  study mechanism
学习机制
1.
After analysising the main character of organization innovation, it proposes the corresponding concept model and take the incentive consistent and study mechanism as the core.
因此,构造相应的组织创新概念模型,其本质的核心在于激励兼容机制和学习机制的实现。
2.
The study mechanism is the sustainable developing root of the production-study-research combination.
学习机制是产学研结合持续发展的根本。
5)  Self-study Control
自学习控制
1.
Introduces simple theory of all kinds of intelligence control techniques,including fuzzy control,neutral network control,self-study control and expert control.
对各种智能控制技术(模糊控制、神经网络控制和自学习控制与专家控制)理论进行了简单地阐述,介绍了智能控制技术在工业中的实际应用,浅析智能控制缺点及应用方面存在的问题,描述了各国学术界目前研究热点,并展望了今后的发展趋势与动态。
6)  self-learning control
自学习控制
1.
Combining the fuzzy control and neural network, this paper designs a fuzzyneural network self-learning controller for the controlling system keeping ship course.
将模糊控制与神经网络融合为一体,为船舶航向保持控制系统设计出一种模糊神经网络自学习控制器。
2.
For the purpose of overcoming the disadvantages of conventional fuzzy controller, self-learning control of fuzzy was proposed.
针对常规模糊控制器的弱点,提出一种模糊自学习控制器,论述了结构的设计方法,是一种基于模糊的自学习控制器。
3.
The self-learning control of a free-floating space flexible manipulator based on fuzzy neural network is studied.
讨论了载体位置不受控、姿态受控情况下,自由漂浮柔性空间机械臂的高斯基模糊神经网络自学习控制问题。
补充资料:连接机制学习


连接机制学习
connectionist learning

  1 ion】ie!izhl xuexl连接机制学习(~tionist Iearning)参见人工神经网络。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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