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。
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。
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。
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。
To implement personalized, intelligent, adaptive Network education is currently a hot field of educational research, in this case, adaptive Learning comes into being.
对学习者实行个性化、智能化、适应性的网络教学是当前教育研究领域的热点，适应性学习在这种情况下应运而生。
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。
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。
A new adaptive variable neural network is developed according to the inner product feature of sample space. This method does not need to iterate learning.
根据样本空间的内积特性，提出一种无需迭代学习的自适应变结构神经网络。
This algorithms has been widely used in machine learning, artificial intelligence, adaptive control, artificial neural network training, Image processing, among other areas.
目前这类算法已被广泛应用于机器学习，人工智能，自适应控制，人工神经网络训练，图像处理等各个方面。
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。
A neural network controller is designed based on reinforcement learning neural network framework to achieve adaptive control of velocity tracking.
然后基于强化学习神经网络结构设计神经网络控制器以取得车速跟踪的自适应控制。
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。
The results show that the neutral network controller has shelf-learning and self-adaptive functions, and has better control effect in speed tracking, compared with traditional PI controller.
仿真结果表明，相对于常规PI控制器，该神经网络控制器具有自学习，自适应功能，速度跟踪获得了满意的控制效果。
A new type of adaptive PID controller using diagonal recurrent neural network (DRNN) is presented. An on-line learning algorithm based on PID parameter self-tuning method is given.
提出了一种基于对角回归神经网络的PID控制器结构，给出了PID参数在线自整定的学习控制算法。
The paper presents a new adaptive control system based on PID-like neural network, gives the learning algorithm of this new controller and analyses stability of the control system.
本文提出了一种新的基于PID型神经网络的自适应控制系统，给出了神经网络控制器的学习算法和控制系统的稳定性分析。
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 result of simulation shows that this neural network fuzzy controller features self-learning and self-adaptive capabilities, and the purpose of on-line control is accomplished.
仿真结果表明，所设计的神经网络模糊控制器具有自学习、自适应等优点，达到了在线控制的目的。
Based on the self-learning property of neural network, an adaptive control method for speed ring of a gyroscope-stabilized platform is put forward in the paper.
提出一种利用神经网络的自学习特性，对陀螺稳定平台的速度环进行自适应控制的方法。
The method makes the neural network be self adaptive and difficult to become the local minimum, so that the convergence rate can be greatly speeded and the learning time shortened.
该方法使网络具有自适应能力，从而不易陷入局部最小，导致收敛速度大大加快，训练时间大大缩短。
Medical Diagnosis; Machine Learning; Back-Propagation Neural Network; Adaptive Neural Fuzzy Inference System.
医学诊断；机器学习；倒传递网路；适应性类神经模糊推论系统。
The experiments show that the improved learning algorithm of association rules in network security audits have better performance of automatic adaptive capacity, achieving the expected effect.
实验结果表明，改进的关联规则学习算法在网络安全审计的自适应能力上有较好表现，取得了预期效果。
The self-adaptive learning rate and momentum coefficient are used to avoid the local minimum point in the training process of wavelet neural network.
小波神经网络的训练采用自适应调整学习率及动量系数的方法，以避免陷入局部极小值。
The self-adaptive learning rate and momentum coefficient are used to avoid the local minimum point in the training process of wavelet neural network.
小波神经网络的训练采用自适应调整学习率及动量系数的方法，以避免陷入局部极小值。
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