提出一次开轧温度和二次开轧温度的自学习算法；
The self-learn algorithm of the first the second start rolling temperature and is presented.
还给出了任务类知识需求模板和用户模型的自学习算法。
The self-learning algorithms of the task class knowledge need model and user model are put forward.
新控制器在控制过程中借助模糊神经网络的自学习算法实现控制参数的在线调整。
The parameters of new controller can be adjusted on line based on the ability of fuzzy ne ural network.
并设计了一种自学习算法，使本系统具有一定的自学习自适应功能，提高了系统的鲁棒性。
A self learning arithmetic is designed in order to make the system has the ability of self learning and self adaptation and make it more robust.
因此构造自学习算法模型，综合考虑在各种网络业务环境下如何实现CPU流控是算法的关键。
And the essential is how to construct this automatism learning model and build out the CPUFC arithmetic to adapt to various network services.
同时不断判断系统温度是否处于暂时稳定状态，如果是，则启动自学习算法，对U0进行修正。
Simultaneously, if the system temperature is in a temporary state of stability, perfects the parameter U0 based on the self-learning algorithm.
通过对决策树分类算法的比较，本文采用C4.5决策树算法实现自学习模块。
Comparing with Decision Tree algorithms, this system chooses the C4.5 to realize the self-learning module.
依据小波的非线性逼近能力和神经网络的自学习特性，提出了一种基于小波神经网络模型的自校正控制算法。
Based on the learning characteristic of neural network and the function approximation ability of the wavelet, a new self tuning control algorithm is presented.
通过利用合理的学习算法进行训练，神经网络对事物和环境具有很强的自学习、自适应和自组织能力。
Carries on the training through the use reasonable study algorithm, the neural network has to the thing and the environment very strong from the study, auto-adapted and from the organization ability.
本文提出一种基于基因算法优化的自学习模糊控制器的设计。
This paper proposes a design of the self adaptive learning fuzzy controller based on Genetic Algorithms optimization.
该方法具有结构算法简单、无监督自学习和侧向联想等功能。
The proposed method features a simple structural algorithm, supervision free self study and lateral thought association, etc.
软件设计首先完成了PWM信号的输出与时序控制，并设计了键盘输入功能模块、LED显示功能模块、电流电压信号采样功能模块，以及模糊神经算法自学习软件功能模块。
The software design implemented PWM output and sequence control module, keyboard input module, LED display module, current and voltage sampling module and fuzzy neural algorithm self study module.
BP算法具有智能性和自学习性的特点，因此，本文提出采用BP神经网络来构造邮件分类识别器。
BP algorithm has aptitude and auto-learning characters, so my paper choose BP neural net algorithm to set up mail classification and recognition model.
分析了积分分离pid控制算法，在此基础上，将应用最广泛的PID控制器与具有自学习功能的神经网络相结合，得到了基于BP神经网络的PID控制算法。
Analyzing the integral splitting PID algorithm, and melting the wide-used PID controller and the automatic learning neural network, got a PID control algorithm based on the BP network.
在网格服务中，为有效地在域内合理选取恰当的资源分配给“服务消费者”，提出了基于基因表达式编程的网格资源自学习选取算法。
In grid service, a new approach of the grid resource selecting Lased on Gene Expression Programming was proposed for aiming at grid resource domain split technique.
基于汽车的常见被盗方式，介绍了用多传感器采集信号、信息融合技术处理信号的方法，分析了信息融合技术的基本算法，讲述了神经网络的自学习和自组织能力。
Based on the usual means of stealing an automobile, this paper mainly introduces the methods of signal acquisition based on multi sensors and signal processing with information fusion technology.
通过利用合理的学习算法进行训练，神经网络对事物和环境具有很强的自学习、自适应和自组织能力。
After training with a proper learning algorithm, NN has a capability of self-learning, adapting and organizing.
应用一种变结构神经网络算法对初始化的模糊规则进行调整，提高模糊控制规则的自学习和自适应能力。
A kind of variable structure neural network algorithm is adopted to adjust fuzzy rules, and improves the ability of self-studying and self-adjusting in fuzzy control rules.
本文通过简化模糊控制算法中的模糊关系，建立了一种运算量少，易于实现实时控制的自学习模糊控制算法。
A self learning fuzzy control algorithm is presented in this paper. The algorithm with a simplified fuzzy relation can save computation.
给出一种基于FCMAC的自学习控制器的结构及合适的学习算法，这种网络每次学习少量参数，算法简单。
FCMAC based controller structure and a simple learning algorithm were also proposed. In the learning algorithm only small parts of parameters of the FCMAC were adjusted at each learning iteration.
第二步，识别阶段，采用了一种亲笔最近相邻算法（HNN）。首先自学习预处理得到的数据，并得到对象的总的特征。再通过HNN算法来识别对象。
The second step (recognition) is achieved by using a holographic nearest-neighbor algorithm (HNN), in which vectors obtained in the preprocessing step are used as inputs to it .
实验证明，利用粒子群算法对评估函数进行参数优化是可行的，通过大量的训练后这种算法不但有效地提高了象棋程序的水平而且使象棋具有了自学习的能力。
The result of experience has proved the method using PSO to optimize the evaluation function is effectively to enhance the strength of the Chinese-chess program by self-learning.
在定义了数据结构和变量数组的基础上，给出了参数自学习过程算法，改善了模型样机对不同规格样本工件的适应性。
A parameter self-learning algorithm is presented after defining data structure and variable array to improve the prototype's adaptability to different size of workpieces.
由于模糊观测器的模糊控制规则主观性较强，因此设计自学习模糊速度观测器，并给出了详细的算法和流程。
Since the fuzzy observer has a strong subjectivity in fuzzy control rules, self-learning fuzzy velocity observer is produced to present detailed algorithm process.
这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法，无需知道太多的专家控制规则，因此解决了制冷系统MIMO模糊推理规则难以获取的问题。
This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.
这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法，无需知道太多的专家控制规则，因此解决了制冷系统MIMO模糊推理规则难以获取的问题。
This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.
应用推荐