adaptive learning

BP neural network use adaptive learning rate momentum algorithm has fast convergence rate and high error precision.

BP神经网络采用收敛速度较快和误差精度较高的动量&自适应学习速率调整算法。

Artificial neural network is a nonlinear system which simulates biological neural systems. It has powerful parallel processing, distributed storage, adaptive learning, a high degree of fault-tolerant capability.

人工神经网络（Artificial neural network，ANN）是模拟生物神经系统的非线性系统，具有强大的并行处理、分布式存储、自适应学习、高度容错的能力。

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。

We constructed student model with Bayesian Nets and Granularity Hierarchies method. They provide basis of strategy of test and student's adaptive learning.

采用贝叶斯网络（Bayesian Nets）和粒度层次（Granularity Hierarchies）方法构建了覆盖型学生模型，为知识前测的出题策略和系统的学生适应性学习提供了依据。

Direct routine bp algorithm learning inefficiency, rapidity of convergence slow wait vice, adopt lot study, append momenta term, adaptive learning coefficient wait measure held over improve on it.

针对常规BP算法学习效率低，收敛速度慢等缺陷，采用批量学习、附加动量项、自适应学习系数等措施加以改进。

At last, a kind of BP algorithm with adaptive learning rate is evaluated and compared with standard BP algorithm by XOR problem.

最后结合XOR问题把一种自适应学习率BP算法和标准BP算法进行了比较和评价。

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。

BP Neural Network with Adaptive Learning Rate

BP网络自适应学习率研究

Design of IRT-based adaptive learning management system

基于IRT的自适应学习管理系统设计

Power Calculation and Adaptive Learning of Process Control in Reversible Cold Rolling Mill

可逆冷轧机过程控制功率计算及其自适应学习

Adaptive learning BP algorithm and Weight Decay Method are applied to training network.

采用带动量因子的自适应学习率BP算法训练网络，收敛性好。采用weight Decay method训练网络，起到修剪网络结构的作用，促使权向小的方向变化。

Compared to the standard BP, this algorithm integrated the additional momentum method with the adaptive learning rate method.

与标准BP算法比较，该系统通过结合附加动量法和自适应学习速率形成新的BP改进算法。

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

FLIR image segmentation based on wavelet neural networks with adaptive learning

小波神经网络自学习算法用于红外图像分割

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

A new fuzzy adaptive learning control ( FALCON), structure based mixture learning control is put forward in the paper.

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。

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）。

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。

Design of Adaptive Learning Rate for BP Algorithm

BP自适应学习率设计

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。

An Adaptive Learning Algorithm for T-S Fuzzy Model Based RBF Neural Network

一种基于T-S模糊模型的RBF神经网络的自适应学习算法

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。

When the regular BP neural network is used, it may have poor performance because of bad convergence. So we choose improved BP neural network as classifier, which combines momentum and adaptive learning rate, and improve the learning and recognition efficiency.

针对标准的BP神经网络常因收敛速度太慢而影响求解质量的问题，我们选用动量法和学习率自适应调整相结合的改进的BP神经网络作为分类器，从而提高了学习速度和识别率。

Background subtraction using gaussian mixture models based on adaptive learning rate

基于自适应学习速率混合高斯模型的背景消除

Blind separation of images using adaptive learning rate independent component analysis

基于自适应学习率独立分量分析的图像盲分离

Adaptive learning system is an individualized learning support system.

适应性学习系统是一种个别化的学习支持系统。

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。

Because of the existing problems of general BP algorithm, operation speed of BP Network is improved by using adaptive learning rate and additional item.

针对普通BP算法存在的问题，采用自适应学习率及附加动量项的方法进行改进，以提高BP网络的运算速度。

The neural network has the ability of self adaptive learning and remembering, and the three-layer BP network has wide application.

人工神经网络具有自适应学习和记忆能力，尤其是3层BP网络模型。

Realize Adaptive Learning in E-learning System

实现E-learning平台中的学生自适应学习