adaptive learning的例句大全

Based on the delay time phase reconstruction of the chaotic dynamical system and the nonlinear characterization of the neural networks, the prediction of factual EEG signals were investigated by using the radial basis function neural networks with the adaptive projective learning algorithm.

基于混沌动力学系统相空间的延迟坐标重构及人工神经网络的非线性特性。研究了采用基于自适应投影学习算法的径向基函数网络对实测的EEG信号进行预测。

Secondly, an adaptive iterative learning control approach is designed for a class of nonlinearly parameterized systems with unknown time-varying parameters and time-varying delays.

第二，研究含有未知时变时滞和未知时变参数的非线性参数化不确定系统的有限时间区间上的跟踪控制问题，提出一种新的自适应迭代学习控制方法。

Adaptive Kernel learning networks with application to modeling of analyzer in TE process

自适应Kernel学习网络在TE过程组分仪建模中的应用

Ins/ doppler integrated navigation system based on learning adaptive Kalman filtering

自学习自适应INS／Doppler组合导航系统

An important problem in adaptive ICA algorithm is opting learning rate.

学习速率的优选问题是自适应ICA算法中一个重要问题。

an adaptive architecture of agent system based on organizational learning

一种基于组织学习的自适应Agent系统体系结构

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。

Then, a new adaptive control method for nonlinear systems is presented by integrating robust modeless learning adaptive control theory for nonlinear systems and FNN.

然后，本文将非线性系统鲁棒无模型自适应控制理论与前馈神经网络相结合，提出一种基于前馈神经网络的非线性系统自适应控制方法。

Adaptive adjustable strategy can effectively shorten the learning time and accelerate convergence rale.

而自适应调整学习率可以有效的缩短学习时间，加快收敛速度。

A class of neural networks containing direct controlled adaptive neuron and the corresponding fast learning algorithm method are proposed for developing this new humping speed control system.

提出了一种直接控制的自适应神经元模型和神经网络结构，以及一种快速学习算法（FLA），并把该神经网络和算法用于驼峰速度控制系统。

Due to Adaptive Nerve-Fuzzy Controller has strong learning ability, it is suitable for time-variable object.

自适应神经模糊控制器的学习能力强，适用于时变对象；

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。

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）。

For a class of n joint manipulator systems, an adaptive iterative learning control design with input saturation and a robust iterative learning control design with input saturation are proposed. Both of the controllers guarantee global stability of the closed-loop systems.

将上述设计方法推广到n自由度机械臂系统，提出了输入转矩限幅下的适应迭代学习控制与鲁棒迭代学习控制，并对算法稳定性作了证明。

Based on this cognition, corporations realize incremental and radical innovation by conditioning, modeling, adaptive creative and meta learning.

在这个基础上，企业通过条件学习、模式学习、适应学习、创造学习与元学习，实现企业渐近创新和重大创新。

The online learning neural network has strong adaptive ability.

其中，在线学习的神经网络具有较强的自适应能力。

For the problem of multi-wheel coordination in motion control of lunar rover, an adaptive control method based on hybrid policy gradient reinforcement learning has been proposed.

针对月球车运动控制中的多轮协调问题，提出了一种基于混合策略梯度增强学习的自适应控制方法。

For learning document classification on line, the paper gives the semi-supervised learning fuzzy ART model ( SLFART) based on adaptive resonance theory and the models algorithm.

为了对在线学习文档进行分类，本文根据自适应谐振理论给出了一个半监督学习模糊ART模型（SLFART）及其算法。

Adaptive Localization in Indoor Wi-Fi Environment Based on Transfer Learning

基于迁移学习的自适应室内Wi-Fi定位

Simulation on Adaptive Mode of Command and Control Agent Based on Reinforcement Learning

基于强化学习的指挥控制Agent适应性仿真研究