系统由数据通讯模块、模型设定模块、模型自学习模块、轧件跟踪模块、数据管理模块等多个模块组成。
This system was composed by multiple modules, including data communication module, schedule setup module, self-learning module, rolling piece tracking module and data management module, etc.
本文提出一种基于自适应预测的无损压缩方法，该方法利用神经网络模型自学习的能力，自适应的调整预测器的预测系数。
In this paper, a lossless compression method, based on adaptive prediction, is presented. This method USES neural network model to modify the prediction weight.
带钢热连轧精轧机组穿带后的头部厚度精度- - -头部命中率将直接影响绝对AGC的工作，其重要手段是靠提高设定模型精度、模型自学习的收敛速度。
It is necessary to hit accurately the head of the strip for applying absolute AGC in hot rolling mill, important means are to improve accuracy of set-up model and convergence of self-learning model.
带钢热连轧精轧机组穿带后的头部厚度精度- - -头部命中率将直接影响绝对AGC的工作，其重要手段是靠提高设定模型精度、模型自学习的收敛速度。
It is necessary to hit the head of the strip for applying absolute AGC, and important means are to improve accuracy of set-up model and convergence of self-learning model.
该模型可以发现已知的和未知的滥用入侵和异常入侵活动，具有自学习、自完善功能。
The model with the functions of self-learning and self-completing can detect the known and novel intrusion activities.
提出了一种基于归纳推理的动态自学习的高效入侵检测模型。
A dynamic self-learning efficient intrusion detection model was proposed based on inductive reasoning.
该模型有自组织和自学习的功能，可以根据每次学习误差的不同，不断调整学习速率，加速收敛过程，充分排除数据样本的随机性影响。
The network model can organize and study itself, according to different study error, continuously adjust the study rate, and accelerate refrain process, expel influence of the data sample.
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.
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.
其次，利用神经网络的自学习和自适应能力，经过训练的神经网络系统能够将专家评价思想以连接权的方式赋予风险评价模型。
Secondly, a trained ANN can endue risk assessment model with expert assessment knowledge in the way of joint weight through its learning and adapting capability.
自学习案例检索模型则缓解了案例检索时间随案例数目呈线性增长的问题。
Then a retrieval model of introspective learning is given to decrease the time of case retrieval, which can vary with the number of cases in case base obviously.
以小麦群体绿色面积和绿色叶面积指标信息的获取为例，研究了基于图像信息构建自学习BP神经网络识别模型的技术。
A recognition system based on self learning BP neural network for feature data of wheat population images, such as total green areas and leaves areas was designed in this paper.
介绍了神经网络自学习鲁棒自适应控制器，该控制器可以应用在模型未知的控制系统中。
Introduction was made to a neural network robust adaptive controller, which can be applied in model unknown control system.
基于模糊t - S模型，提出一种具有自学习能力的模糊方法用于批过程建模和最优控制。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
该模型具有良好的适应性和自学习功能。
This model has good adaptability and self-learning function.
针对其中采用的前馈控制与自学习策略、数学模型的设定、修正计算和控冷过程跟踪控制等作了深入的分析。
Moreover, the adopting feedforward control and self-learning strategy, mathematics model enactment and revision calculation and control cooling process control etc analysed deeply.
提出了对随机事件概率分布参数进行自学习的方法，把知识化制造单元中的不确定因素纳入任务控制的数学模型。
The uncertain factors of the knowledgeable manufacturing cell were included in the task control model by utilizing a self-study method of probability distribution parameters of stochastic events.
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.
该模型具有以下特点：1机器自学习。
The features of this model are shown as follow: 1 Machine automatic learning.
介绍了余热处理计算机控制系统的在线温度预报模型、设定模型和参数跟踪自学习模型的建立方法。
The method of establishing on-line temperature prediction model, set point model and parameter tracing self-learning model of computerized heat recovery processing control system is introduced.
并且，对于高度非线性的听觉系统，采用从有限的实际样本中“自学习”到具有输入输出关系能力的人工神经网络模型来实现。
In addition, compared with high non-linear auditory system, artificial neural network has the capability to learn from limit sample sets and map input to output in various dimensions.
介绍了昆钢双机架轧机轧制流程和数学模型，并在此基础上详细讨论了模型在线自学习的方法和技巧。
The rolling process and mathematical model of the KISCO hot rolling mill are presented, and based on this, methods and skills for online self-study with the model are discussed in details.
在对常规PI控制器模型分析的基础上，结合线性神经元自学习能力和适应能力强的优点，提出了一种线性神经元PI控制器模型。
Based on the analysis of a normal PI model and the merits of the self-study and good adaptability of a linear nerve cell, a new PI controller model was put forward.
经实践检验，模型具有较强的自学习及泛化能力，预报结果具有较高的精度，能有效地指导生产实践。
It is proved by practice that the model has strong ability of self-studying and generalizing. The precision of the results is high enough to direct production process effectively.
该模型对网络会话进行自学习生成状态机，利用经过特征提取的状态机进行模式匹配，进而构造网络会话响应内容。
This model builds state machine through self-learning from network services and then matches pattern using state machine which has extracted features. Then this model can build response.
本课题在对我国大容量机组锅炉燃烧特性进行研究的基础上，运用模糊数学和神经网络方法建立了具有自学习功能的锅炉燃烧稳定性模糊综合评判模型。
On the base of the study of combustion characteristics of large capacity coal-fired boiler, a fuzzy comprehensive judgement model of boiler combustion stability is established.
针对短行程控制(SSC)模型，开发了短行程控制在线自学习功能。
For the short stroke control (SSC) model, the SSC online self-learning function was exploited.
建立了伺服感应电动机DTC控制模型，其中速度观测器采用文中提出的自学习模糊速度观测器。
Then, a DTC induction motor servo control simulation model is established, which adopts the self-learning fuzzy in velocity observer.
介绍预计算轧制规程中所使用的轧制力模型，在此基础上根据轧制过程中的仪表反馈数据开发出一种新的轧制力自学习模型。
Introduce the rolling force mathematic model used in pre-calculated rolling schedule and a new rolling force learning model based on feedback data from the instrument in rolling process.
介绍预计算轧制规程中所使用的轧制力模型，在此基础上根据轧制过程中的仪表反馈数据开发出一种新的轧制力自学习模型。
Introduce the rolling force mathematic model used in pre-calculated rolling schedule and a new rolling force learning model based on feedback data from the instrument in rolling process.
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