On the one hand, the strong learning and adaptive abilities of the ANN can be exploited to effectively improve the watermark performance.
一方面，人工神经网络所具有的自学习和自适应能力可以有效地改善水印性能；
Both simulation and practical application results show that this controller has strong robustness and the capabilities of self learning and adaptive decoupling.
经仿真研究及实际运行表明，多层神经网络PID控制器具有很强的鲁棒性、自学习功能和自适应解耦功能。
This fuzzy neural network USES wavelet basis function as membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability.
这种模糊神经网络利用了小波基函数作为隶属函数，可在线根据误差调整隶属函数的形状，使模糊神经网络具有更强的学习和适应能力。
The application of additional momentum and adaptive learning rate overcomes the limitation effect of BP rule, accelerates the training speed and strengthens the generalization ability of network.
由于采用附加动量项和自适应率等措施，克服了BP规则的局限性，加快了训练速度，增强了网络的泛化能力。
Biological Immune is a highly complexity and self-adaptive system with capability of learning, memory acquisition, pattern recognition and so on.
生物免疫是一个高度复杂的自适应系统，具有学习、记忆和模式识别的能力。
The simulation results prove that the neural network controller has self-learning and self-adaptive ability by comparison with PD controller. The position tracking control obtains satisfactory effect.
结果表明，相对于常规PD控制器，该神经网络控制器具有自学习、自适应功能，位置跟踪获得了满意的控制效果。
In the training process, the adaptive learning rate and error batch-mode process are introduced to accelerate the training rate.
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。
SCM promotes adaptive learning by continuous improvement and the management of existing knowledge.
SCM法通过持续的改进和现存知识的管理促进适应性学习；
Especially to threshold de-noising, a method based on orthogonal wavelet analysis and self-adaptive learning algorithm was proposed here.
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。
The undergraduates are facing on such psychological drawbacks as adaptive trouble, learning trouble, life stress, emotional confusion, personal relationship trouble and occupation stress.
大学生入学后普遍存在着适应障碍、学习障碍、生活压力、情感困惑、人际关系障碍和就业压力等心理问题；
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.
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。
To overcome this problem and the shortcomings of current adaptive methods, we propose a new adaptive method based on feedback learning.
针对该问题以及现有自适应方法的不足，本文提出基于反馈学习的自适应方法。
This paper presents a class adaptive pole assignment control of servo systems based on neural state estimation and develops the system structure and the weight learning algorithms.
提出了一类基于神经元状态估计器的自适应广义极点配置控制，研究了该控制系统的网络结构和权值学习方法。
Machine learning in adaptive text filtering includes profile learning and threshold learning.
自适应文本过滤中的机器学习方法包括模板学习和阈值学习。
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。
We first discuss the structure and principle of the CMAC neural network. Using competitive learning, we develop a new adaptive quantization algorithm.
首先阐述了CMAC神经网络的原理、结构和学习算法，提出了一种新的采用竞争学习原理的非等距自适应量化算法。
An adaptive neuron control method is presented. By use of this kind of controller, an intelligent control system is designed, and its learning rules are also presented.
该文给出了一种自适应神经元的控制方法，设计了神经元网络作为控制器的智能控制系统，给出了学习规则。
System identification plays an important role in high performance automation technologies such as adaptive control and learning control.
系统辨识是高性能自动化技术(如适应控制与学习控制)中的重要内容。
Using this algorithm, an adaptive learning controlling value is established according to the recent convergence error and its rate of change.
并针对某些学习应用提出了一种两阶段自适应控制逐一训练算法。
The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.
在反馈学习算法的基础上，将模糊逻辑和神经网络自适应控制的结构结合在一起。
The learning of the network is also studied and an adaptive parallel learning algorithm is proposed.
并对该神经网络模型的学习算法进行了研究，提出了一种自适应并行学习算法。
Based on neural network and combined with adaptive capability of reinforcement learning, it can execute velocity tracking control through online learning of neural network.
该控制方法基于神经网络并结合强化学习的自适应能力，通过神经网络的在线学习对车速进行跟踪控制。
After exploratory researches for the structure and learning algorithm of neural network, an algorithm based on adaptive gain coefficient is presented.
对神经网络的结构和学习算法进行了探索性研究，引入一种基于自适应增益系数改进的学习算法。
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.
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。
A periodic mixed adaptive law and an adaptive repetitive learning control one are constructed to ensure the asymptotic convergence of the tracking error in the sense of square error norm.
通过引入参数周期自适应律，设计出的自适应控制策略，使跟踪误差平方在一个周期上的积分范数渐近收敛于零。
A periodic mixed adaptive law and an adaptive repetitive learning control one are constructed to ensure the asymptotic convergence of the tracking error in the sense of square error norm.
通过引入参数周期自适应律，设计出的自适应控制策略，使跟踪误差平方在一个周期上的积分范数渐近收敛于零。
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