Simulation results illustrate that LM algorithm speed up learning process and reduce training time greatly. The identification effect is very good.
仿真结果表明LM算法可大大地提高学习速度，缩短训练时间，且辨识效果很好。
RBF neural network provides an effective means for system identification and modeling with its advantages of smaller calculation quantity and high learning speed.
RBF神经网络以其计算量小，学习速度快，不易陷入局部极小等诸多优点为系统辨识与建模提供了一种有效的手段。
MATLAB language, for fingerprint identification, pressure plastic bag containing detailed procedures and the required map, can be used for autonomous learning.
说明：matlab语言，用于指纹识别，压塑包内含详细程序以及所需用图，可以用于自主学习。
A learning algorithm based on Lyapunov stability is derived to fuzzy relational model identification in this paper.
本文在李雅普·诺夫稳定性意义下，提出了一种辨识模糊关系模型的学习算法。
The parameter learning algorithm of dynamic recurrent neural network based on system identification is analyzed. D.
分析了动态递归神经网络系统辨识的参数学习算法。
OBJECTIVES: To describe specific behavioral deficits associated with entorhinal cortex injury related to special senses identification, sensory integration and spatial learning.
目 的：描述与内皮层损伤相关的特定行为缺乏，及相关的特定感觉识别、感觉综合和空间学习。
A two-phase study was designed to explore the identification, classification, and application of learning strategies.
本研究设计为两阶段，以探讨学习策略的辨识、分类和应用。
The parameter learning algorithm of dynamic recurrent neural network based on system identification is analyzed.
分析了动态递归神经网络系统辨识的参数学习算法。
A considerable amount of strategy research has focused on the identification, description and classification of language learning strategies.
大量的策略研究集中于对策略的识别、描述和归类上。一般认为策略可分为学习策略和运用策略。
The experimental results show that the HMM identification system acquires higher rate in the splice site identification than popular machine learning techniques.
实验结果表明，该识别系统在用于剪接位点的识别中，较常用的机器学习方法，获得了更高识别率。
Two prototype algorithms of iterative learning identification, iterative learning Bayes and stochastic Newton algorithms, are proposed with detail.
推导得到两种迭代学习辨识算法：迭代学习贝叶斯法和迭代学习随机牛顿法。
This paper presents a new method for dynamic model identification of sensors, and gives the corresponding design processes and learning algorithm.
提出了一种传感器动态模型辩识新方法，给出了相应的辩识过程及学习算法。
Using identification of neural networks, a new method of robust iterative learning control algorithm is proposed in the paper.
在神经网络辨识的基础上，提出一种新的鲁棒迭代学习控制方法。
This paper applies manifold learning method in aircraft image identification, and proposes an algorithm of aircraft identification based on improved Isometric Mapping(ISOMAP).
将流形学习方法应用于飞机图像识别中，提出一种基于改进等距映射（ISOMAP）的飞机识别算法。
Although the use of decision strategies is always an inner process, identification of working strategies is critical to study strategy learning and transformation, decision aiding and training.
决策策略的使用是不可见的内在过程，有效识别出决策者在信息整合时使用的策略对研究策略学习与转换、决策辅助与训练有重要意义。
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。
There is a lot of polysemy in business English, consequently the identification of sense relations and meanings of this kind of words become a difficulty during English vocabulary learning.
商务英语中存在着大量的多义词，这类单词的词义关系和词义确定成为英语词汇学习的一个难点。
Computer animations of dental decay, periodontal disease and the identification of tooth surfaces provide an easy learning experience.
电脑动画的牙齿腐烂，牙周疾病以及确定齿面提供一种简单的学习经验。
In this paper, the problem on robust learning algorithm of the neural networks for system identification is discussed.
讨论系统辨识神经网络算法的鲁棒性问题。
In this paper, first we make the linguistic analyses and statistics of corpora. Then we introduce a method of identification of Chinese names based on exemplar learning.
本文在对大量语料的语言现象的统计与分析的基础上，提出了一种用实例描述语言现象，用相似度计算识别人名的方法。
A simple neural network structure and its learning algorithm are presented for the purpose of system identification of a linear time invariant system which is represented by the state space equation.
神经网络方法可用于动力学系统的参数估计，包括时域和频域建模。将单层神经网络用于单交量线性连续时不变系统的参数估计中，线性系统分别用状态方程及传递函数来描述。
The identification of the fault types is achieved in the neural network module using competitive learning algorithm. The seven models for the single and composite . faults of a cantilever beam…
文中对悬臂梁的单一故障和复合故障等七种模式进行了诊断分析，均获得了正确的诊断结果。
The identification of the fault types is achieved in the neural network module using competitive learning algorithm. The seven models for the single and composite . faults of a cantilever beam…
文中对悬臂梁的单一故障和复合故障等七种模式进行了诊断分析，均获得了正确的诊断结果。
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