布鲁纳的发现学习开拓了研究性教学的先河，萨奇曼的研究训练教学模式为研究性教学奠定了操作基础。
Bruner's "discovery learning" exploited a new field for research-oriented instruction, and Suchman's model for the analysis of inquiry laid an operational basis for this instruction.
笔者认为，在学科教学过程中，结合学科特点进行自我调节学习循环模式的训练十分必要。
To sum up, it is necessary to add the self-regulated learning cyclic model training to the definite subject teaching process.
本文对径向基函数网络提出了一种新的学习算法，利用最小均熵差准则对训练样本进行模式聚类。
This paper presents a new leaning method for radial basis function network, minimum mean entropy difference criterion algorithm is used to get pattern cluster of training sets.
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