本论文以对STAD过程的模拟为例，探讨了构建协作学习过程模型的方法。
The method to build collaborative learning process was explored in term of to simulate STAD process as an example in this thesis.
该研究选取不同大小的样本进行了一系列实验室实验，形成了直觉学习过程的计算模型。
The researchers conducted a series of laboratory experiments with groups of various sizes and developed a mathematical model of the intuitive learning process.
本文中，我们描述如何将这种学习DITA过程模型应用于一个示范课程，我们使用了现有的IBMDB 2QueryMonitor课程。
In this article, we describe how we applied this DITA process model for learning to a case study course using content from an existing course on the IBM DB2 Query Monitor.
德莱·弗斯模型把学习的过程分为5个截然不同不同的阶段。
The Dreyfus model divides the learning process into five distinct stages or levels.
结果，德莱·弗斯技能学习模型说明了人们是如何从新手到能不假思索而行事的老手之间的过程。
The result was the Dreyfus Model of Skills Acquisition, which describes how people go from being brand new at something to being able to do it quite literally without thinking.
第三章重点建构复杂陈述性知识学习过程的模型。
Chapter three constructs the model of the process of complex declarative knowledge learning.
对QueryMonitor课程重新加工的过程中，我们采用针对学习调整的DITA过程模型，如后所述。
In reworking the Query Monitor course, we applied the DITA process model adapted for learning, as follows.
该模型有自组织和自学习的功能，可以根据每次学习误差的不同，不断调整学习速率，加速收敛过程，充分排除数据样本的随机性影响。
The network model can organize and study itself, according to different study error, continuously adjust the study rate, and accelerate refrain process, expel influence of the data sample.
我们一直在学习如何选择必要的过程模型，以及如何把他们用到及至。
We have been learning what types of discipline are necessary and how to best enforce them.
提出了一种传感器动态模型辩识新方法，给出了相应的辩识过程及学习算法。
This paper presents a new method for dynamic model identification of sensors, and gives the corresponding design processes and learning algorithm.
该网络模型仿真实际废水处理过程的结果表明，BP神经网络具有很强的学习能力。
The results of emulating practical wastewater treatment process of the network model show that the BP neural network has a strong learning capability.
在该协商模型的基础上引入贝叶斯学习机制，并分别对更新信念、生成提议等协商过程作了详细阐述。
We embed Bayes learning mechanism on the basis of the negotiation model, and elaborate process descriptions of evaluating offers, belief revision and proposing counter-offers are presented.
由于强化学习理论的限制，在多智能体系统中马尔科夫过程模型不再适用，因此不能把强化学习直接用于多智能体的协作学习问题。
Due to the theoretical limitation that it assumes that an environment is Markovian, traditional reinforcement learning algorithms cannot be applied directly to multi-agent system.
文中给出了学习算法，并以油藏开发三次采油过程模拟为例验证了模型和算法的有效性。
The learning algorithm is given, and the effectiveness of the model and algorithm is proved by tertiary oil recovery process simulation of oil reservoir development.
这一基本模型认为学习是一个由具体经验、反思性观察、抽象概念化和主动尝试这四个环节组成的循环往复、不断积累的过程。
The experiential learning model regards learning as a cyclic process that integrates concrete experience, reflective observation, abstract conceptualization and active experimentation.
首先，您将学习为您的模型创建汽车喷漆的过程。
First, you'll learn the process of car paint creation for your model.
学习者模型记录了学习者的认知过程，映射着学习者问题空间中的假设空间和实验空间；
The learner model is responsible to record the cognitive process of a learner, and implemented by mapping the learner's hypothesis space and experiment space.
构建的评价模型包括三个模块和六个维度，并基于层次分析法以学生学习过程评价为例，详细介绍了具体评价指标体系构建方法和步骤。
Evaluation model consists of three modules and six dimensions. The author proposes methods of evaluation index system by taking assessment of student learning process as an example based on AHP.
基于模糊t - S模型，提出一种具有自学习能力的模糊方法用于批过程建模和最优控制。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
以企业网络为组织间学习的重要环境，提出了组织间学习过程的二维模型。
On the context of enterprises network, a two-dimension model of inter-organizational learning process is proposed.
针对其中采用的前馈控制与自学习策略、数学模型的设定、修正计算和控冷过程跟踪控制等作了深入的分析。
Moreover, the adopting feedforward control and self-learning strategy, mathematics model enactment and revision calculation and control cooling process control etc analysed deeply.
物理模型是物理思维加工的产物，是在物理学习过程中知识情景的再现及创造。
Physical model is the product of physical thinking process, also the reproduction and creation of intellective scene during the physics learning period.
径向基函数神经网络是一种拓扑结构简单、学习过程透明的神经网络模型。
Radial Basis Function Neural Network is a kind of Neural Networks which have simple topological structure and clear learn procedure.
同时，为了增强模型的预测能力，将自组织学习引入到模型的训练过程中，取得了良好的效果。
At the same time, self organized learning has been introduced in training process to improve the models' prediction ability. It can improve the performance of models evidently.
此外，这些模型还存在一个共同的缺点，缺乏严格的形式化定义，很难支持对学习过程的正确性的分析与验证。
In addition, these models still exist a common weakness, that these models lack strict formal definitions. So it is difficult to support the analysis and validity on correctness of process.
通过对自评过程中组织学习特点的研究，建立了基于组织学习的动态自评模型，并对动态模型的结构进行了分析。
This paper constructs a dynamic model based on organizational learning by studying the characteristics of learning in self-assessment, and analyzes the structure of the dynamic model.
贝叶斯网络的学习是数据挖掘中非常重要的一个环节，是将先验知识和模型评价融入训练数据，获得数据中隐藏的拓扑结构和参数的过程。
The learning of Bayesian Networks is an important tache, which combines training data with prior knowledge and model evaluation to acquire the structure hidden in data and parameters.
阐述了人工神经网络模型的一般结构和算法，并设计了机械故障诊断神经网络的模型和学习过程。
The structure and algorithm of artificial neural network model were described, and the model and learning-procedure of mechanical fault diagnosis neural network were designed.
阐述了人工神经网络模型的一般结构和算法，并设计了机械故障诊断神经网络的模型和学习过程。
The structure and algorithm of artificial neural network model were described, and the model and learning-procedure of mechanical fault diagnosis neural network were designed.
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