adaptive learning

Design of IRT-based adaptive learning management system

基于IRT的自适应学习管理系统设计

To guarantee the fast convergence of the proposed neural network model, the optimal adaptive learning rates are derived in the sense of discrete-type Lyapunov stability.

在离散型Lyapunov稳定性的意义下，导出了权值自适应学习速率的取值范围，保证控制系统的快速收敛。

Analyzes the mathematical similarity between the neural minor component analysis ( MCA) learning rule and beamforming optimization problem. Then, the neural MCA learning rule is used to implement robust adaptive beamforming.

分析了神经次元分析（MCA）学习规则与该波束形成优化问题在数学描述上的相似性，利用神经MCA学习规则实现鲁棒自适应波束形成。

In order to overcome slow convergence rate of the standard BP algorithm, this paper presents an adaptive backpropagation algorithm which can update learning rate and birr factor automatically based on dynamical training error rate of change.

本文针对BP算法存在收敛速度慢的缺点，提出一种基于网络动态训练误差变化率自动校正学习步长和冲量因子的自适应反向传播算法。

The application of fuzzy adaptive learning control ( FALCON) in milling-classification operation system

模糊自适应学习控制（FALCON）在磨矿分级系统中的应用

Finally, for the iterative learning control and single-axis repetitive control, they have no inhibitory ability to the first cycle contour error. I designed adaptive robust control to reduce contour error effect and enhance its robustness.

最后，针对迭代学习控制和单轴位移重复控制对第一周期轮廓误差无抑制能力，单轴采用自适应鲁棒控制补偿轮廓误差效果并提高其鲁棒性。

Artificial Neural Network ( ANN) can approximate any complex nonlinear system, has good pattern recognition, adaptive learning and memory ability, such as associative memory.

人工神经网络（ANN）可以逼近任意复杂的非线性系统，具有较好的模式识别、自适应学习和记忆联想等能力。

By the use of the additional momentum method and adaptive learning rate of BP network, a neural network model was established to calculate the speed of tidal bore.

运用BP网络附加动量法和自适应学习速率法，建立神经网络模型，模拟计算涌潮波速。

To address the problem of multicomponent patterns that many researchers have forgotten to consider it in their classification systems, an adaptive boosting multi-label learning algorithm ( AdaBoost. MC) is developed based on decision trees, maximum a posteriori ( MAP) and the robust ranking principles.

为解决许多研究者在其分类系统中未予考虑的多成份模式问题，开发了一种基于决策树、最大后验（MAP）和鲁棒排序原则的自适应boosting多标记学习算法（AdaBoost.MC）。

FNS Limb Motion Control Based on Adaptive Iterative Learning Control Algorithm

基于自适应迭代学习算法的FNS肢体运动控制