有人指责教师降低标准以适应学习较差学生的需要。
Teachers are accused of levelling standards down to suit the needs of less able students.
适应学习的能力明显提高。
培生则将获得Knewton自适应学习技术的部分专有权。
Pearson will get semi-exclusive access to Knewton's adaptive learning technology.
提出一种基于区域自适应学习的人脸图像超分辨率复原算法。
A novel region adaptive learning-based super resolution algorithm for human face images is proposed, which divides a face image into flat regions and detailed regions.
使用自适应学习率的算法调整网络的权值，加快了网络的学习速度。
Using an algorithms of adaptive learning rates adjust the network's weight for quickening learning rates.
该方法实时性好、可靠性高，而且具备自适应学习能力，有一定的应用价值。
The method has many advantages such as good performance of on-line, high reliability, ability for self-adapting and study on-line, and is of particular value in application.
介绍遗传算法的基本原理，并采用自适应学习遗传算法排定某露天边坡的开挖步序。
The fundamental of genetic algorithms is introduced. Excavation schedule of slope is determined by means of adaptive learning genetic algorithms.
阐述了混沌学习算法的机理，设计了交通流量WNN混沌时间序列自适应学习算法。
Then the mechanism of the chaotic learning algorithm is described, and the adaptive learning algorithm of WNN for traffic flow time series is designed.
在神经网络自学习过程中，引入了自适应学习速率和误差批处理法，加快了学习速度。
In the training process, the adaptive learning rate and error batch-mode process are introduced to accelerate the training rate.
提出了一种隐层结构自适应学习的径向基函数网络(HSARBF)水声目标分类器。
This paper proposes a hidden layer structure adaptive radial basis function (HSARBF) classifier.
特别是对阈值去噪方法，提出了一种基于正交小波变换和自适应学习算法的噪声抑制方法。
Especially to threshold de-noising, a method based on orthogonal wavelet analysis and self-adaptive learning algorithm was proposed here.
文中提出一种基于模糊自适应学习控制(FALCON)结构下新型的混合学习控制策略。
A new fuzzy adaptive learning control (FALCON), structure based mixture learning control is put forward in the paper.
BP神经网络具有很强的非线性映射和自适应学习功能，可用于模式识别和预测评估等领域。
The BP neural network has ability of nonlinear-mapping and self-accommodating. It can be used to recognize mode, forecast and so on.
提出将IRT的相关算法应用于在线教学系统，通过相应的算法，实现自适应学习管理和跟踪。
The paper proposes an online teaching system based on IRT, and by this system, the managing and tracing process of adaptive learning are realized.
对小波神经网络采用最速梯度下降法优化网络参数，并对学习率采用自适应学习速率方法自动调节。
In WNN the most fast grads descent methodology was adopted to adjust the network parameters and the learning rate by self adapting learning rate method.
我们首先简单介绍基于累积误差的梯形下降法，在此基础上，给出了一种自适应学习速率的调整方案。
First, we introduce the trapezoid drop method based on cumulative error, and give a study way of adaptation.
提出了一种基于神经元状态融合的组合导航系统信息融合模型，给出了神经元融合权重在线自适应学习算法。
An information fusion model of integrated navigation system based on neurons is proposed, and also an on line adaptive training algorithm of the weights of neuron is given.
在神经网络自学习过程中，引入了自适应学习速率和动量法，加快了网络的收敛速度，提高了网络的辨识精度。
During the self learning process, the adaptive learning rate and momentum gene are introduced to accelerate the rate of convergence and advance the identify accuracy.
模糊神经网络系统可以根据系统输入输出信号，建立系统的输入输出关系，并对环境的变化具有较强的自适应学习能力。
Fuzzy Neural Network System (FNNS) can construct input? Output relationship by means of input and output signal and FNNS has special characteristics of adaptive learn while environment is changing.
人工神经网络日渐成为一种重要的分类工具，其最大益处就在于它善于对环境的自适应学习，并且具有并行处理泛化能力。
The manual neural network has become more and more important as a classifier. Learning from the environment adaptively and generalizing were the most advantages of neural network.
该模型通过确定标准对象，数据的标准化处理，网络自适应学习和评价结果输出等环节，可以有效地解决一类综合评价问题。
The model may solve a kind of problems of synthetic evaluation by determining standard objects, processing data normally, network adaptive learning and evaluation result output.
语义网；本体；自适应学习；学习者模型；知识管理；智能推理；认知能力；建构主义； 语义距离； 语义相似度。
Semantic Web; Ontology; Adaptive Learning; Learner Model; Knowledge Management; Intelligent Reasoning; Cognitive Ability; Constructivism; Semantic Distance; Semantic Similarity.
条件建构-优化理论“从知识表示、知识获取过程、以及如何促进认知技能的获取三个角度，系统地阐述了人类自适应学习的心理机制。
The theory of "condition constructing and elaborating" expounds the psychological mechanics, from the aspects of knowledge representation, knowledge acquisition and promoting measures.
提出了自适应学习率及动量因子的BP神经网络算法和误差逼近度渐近收缩学习的BP神经网络算法，并将其应用于汽轮发电机组振动故障诊断与识别。
The improved BP algorithms based on adaptive parameters adjustment and error contracting gradually are presented, which are applied successfully to fault diagnosis of steam- turbine generator unit.
提出了自适应学习率及动量因子的BP神经网络算法和误差逼近度渐近收缩学习的BP神经网络算法，并将其应用于汽轮发电机组振动故障诊断与识别。
The improved BP algorithms based on adaptive parameters adjustment and error contracting gradually are presented, which are applied successfully to fault diagnosis of steam- turbine generator unit.
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