对基于自学习功能的计算机辅助医学诊断专家系统的应用进行研究。
To research on the application of computer-aided diagnosis expert system based on machine adaptive learning.
该系统具有供电设备状态评估、故障诊断、检修决策、制定检修计划、自学习和企业网站检修信息发布功能。
The major functions of the DSS system are estate evaluation, fault diagnose, maintenance decision-making, maintenance planning, self-study and maintenance information publish.
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.
基于数据挖掘的入侵检测系统具有一定的自学习性和自完善性，可以检测已知或未知的入侵行为。
IDS based on data mining has the functions of self -learning and self -completing, it can detect the know and unknown intrusion activities.
利用神经元的自学习功能实现神经元控制器的在线学习，并以神经元控制器作为交流伺服系统的位置调节器；
The neuron controller with its self-learning ability can realize the on-line learning algorithm, and it is adopted as the position controller of the AC servo system.
对相联存储自学习控制系统(AMLCS)提出了一种改进方案，可用于动态特性几乎完全未知且慢时变的工业过程。
This paper proposes an improved version of the associative memory learning control system (AMLCS) for industrial processes with almost completely unknown but slowly time-varying dynamics.
本文提出一种模糊神经网络自学习控制方法，并应用于窑炉温度控制系统中。
Based on fuzzy neural network, this paper presents a self learning controller used to industrial kiln temperature system.
提出了一种自学习模糊逻辑推理网络的系统设计方法。
This paper has presented a method of designing a learning fuzzy logic reasoning network system.
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.
采用结合优化方法与混沌特性分析的自学习方法，在系统优化目标和稳定性之间达到平衡。
A self learning method is presented, which combines the optimizing technology and stability analysis together to achieve a tradeoff between the optimizing objective and system stability.
本系统不但具有故障诊断的能力，还具备较强的自学习的功能。
The system can implement fault diagnosis as well as self-learning.
为扩展分词知识库，提高自动分词能力，本文提出了一种基于自学习机制的汉语自动分词系统。
To extend word segmentation repository and enhance word segmentation capacity, a Chinese word segmentation system based on automatic learning is proposed in this paper.
该方法利用RBF神经网络的自学习、自适应能力自调整系统的控制参数。
This method uses the liability of self-study and self-adaptability of RBF network to turning parameters of system.
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.
通过概念聚类识别孤立点，运用规划识别技术和贝叶斯因果网络实现目标的预测、识别，最终实现系统自学习。
The system applies conceptual clustering technology to recognize outliers, and uses plan recognition and causal network to predict and recognize the target.
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.
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.
本文讨论一种新型的自学习控制系统。
实验证明，此控制系统具有较强的自适应性与自学习能力，表明了该方案的正确性与实用性。
Experiment demonstrates that the system has good self adaptability and self studying ability, certifying the correctness and practicability of the proposed scheme.
针对直接驱动直线式交流伺服系统，提出了一种基于模糊自学习的滑模变结构控制方案。
This paper presents a sliding mode variable structure control (SMVSC) method based on fuzzy self-learning for a direct-drive AC Lin ear servo system.
二是基于机器人重复控制的学习机理，提出了一种船舶航向自学习型模糊控制系统，分析了该系统的特点。
The other is ship course self-studying fuzzy control system, which is based on the learning mechanism of robot repetition control. The thesis analyses the system 's characteristic.
另外一个方面，离线仿真也是对控制系统的自适应和自学习的一个有益的补充，有利于控制系统的优化。
Another, Off-line Simulation is supplement of self_learning and adaptive in control system, it is propitious to optimization of control system.
文中采用计算机自适应的最小二乘优化方法实现模糊诊断系统隶属度函数的机器自学习功能。
The least square method of computer adaptation is applied to complete the function of computer self-learning of membership function in fuzzy diagnosis system.
从某种意义上说，通过粗集理论挖掘出的分类规则是系统通过自学习机制而产生的，因而可以解决知识自动获取的瓶颈问题。
In a sense, rough sets is a kind of self-study mechanism, so we can solve the problem of knowledge obtained automatically by using rough sets.
对检索结果进行修正是CBR系统实现“自学习”与扩充的重要条件。
The revision of retrieved results is of great importance for CBR system to realize its self-improvement and ampliation.
研究了一种应用于机载火控系统的具有自学习功能的故障诊断系统。
An intellective fault diagnosis system of the airborne fire control system with self-study function is study.
研究了一种应用于机载火控系统的具有自学习功能的故障诊断系统。
An intellective fault diagnosis system of the airborne fire control system with self-study function is study.
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