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1)  induced learning algorithm
归纳学习算法
2)  induction type learning
归纳型学习法
3)  inductive learning
归纳学习
1.
The Research of IDSS Based on Inductive Learning and Case-Based Reasoning;
基于归纳学习和范例推理的智能决策支持系统的研究
2.
Artificial intelligence-based inductive learning method was analyzed.
分析了基于人工智能中的归纳学习方法,提出了一种针对挤压锻造工艺优化的基于数值仿真归纳知识的混合优化方法,并通过一个挤压锻造的实例验证了该方法的有效性。
4)  Induction learning
归纳学习
1.
Furthermore, a hybrid learning model combining learning from cases and case\|based reasoning is put forward by virtue of intelligent agents, and the basic framework of the model is also given in which induction learning agents coordinate by a reinf.
构成此框架的各归纳学习agent在专家的协助下,可通过加强学习机制相互促进。
2.
Unlike other improvement works, this paper proposes a method that conducts evolution to keep the balance through induction learning.
不同于现有的其它改进 ,论文采用归纳学习的方法来引导进化过程趋于这一平衡 ;文中采用归纳学习的方法 ,从进化历史进程中抽取出能反映过去进化的错误和成功的规则 ,进而用它们来引导后续的进化过程 ,保证在避免重复错误的同时加速进化 。
3.
This paper proposes a new algorithm called LAID(learning algorithm as inverse deduction) considering the difficulty of traditional induction learning.
针对传统归纳学习的困难,提出一种新的逆演绎的学习算法。
5)  induction algorithms
归纳算法
6)  RTRL
实时递归学习算法
1.
The model identifier adjusts parameters on-line by the BP(back propagation)learning algorithm,acquires accurate Jacobian information and then the controller implements self-tuning on-line by Real Time Recurrent Learning(RTRL) algorithm.
辨识器采用了BP(back propagation)算法在线调整参数,并获取被控对象精确的Jacobian信息,再由实时递归学习算法(RTRL)实现对控制器的在线整定。
补充资料:归纳学习


归纳学习
inductive learning

  归纳学习(induetive learnlng)由特殊事例证明一般原理的推理的学习。首先要收集资料,对个别事物加以观察、测量及记录;然后分析收集到的资料,找出事例的共同属性;最后根据分析结果得出一般性的结论。 (王丽荣撰成立夫审)
  
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