Combining the single neuron model with self-learning function with common PID control algorithm, single neuron adaptive PID controller is designed and applied to big-power rectification power supply controller system.

The force controller with self-studying function can improve the fidelity of the force-reflecting teleoperation system.

该控制器具有自学习功能，提高了力反应遥操作系统力反馈的保真度。

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In view of the characteristics of hydraulic oscillating mechanism of mould, a self-adaptive PID controller is introduced based on the self-learning function of neuron. The controller is used in the hydraulic servo system of mould oscillating mechanism and its design method is put forward.

针对结晶器液压振动装置的特点，利用神经元的自学习功能构成自适应PID控制器，应用该控制器对结晶器振动装置的液压伺服系统进行控制研究，并给出了设计方法。

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BP network can help the PID controller to track the changing environment and system under control using its online learning capability.

通过BP网络的学习功能，在线调整PID控制参数，以适应运行环境和受控系统的动态变化。

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The simulated results show that this kind of arithmetic is better than the general PID decoupling. It not only has better dynamic performance and stability but also has better self-learning function and self-adapting decoupling ability.

仿真结果表明这种单神经元PID解耦算法实现的控制比常规的PID解耦不仅具有较好的动态性能和稳态性能，而且还具有很强的自学习功能和自适应解耦能力。

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Therefore, an algorithm for fault-classification is proposed to develop a normal-distributed probabilistic function in accordance with those fractal dimensions.

基于这一结论，提出了具有学习功能的故障概率函数测度法来实现故障的分类辨识。

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We introduce the ontology technology into the information agent's three main function modules: Information searching module, information-filtering module, and machine-learning module.

本文将本体技术引入到信息Agent的三个主要功能模块中：信息搜索功能，信息过滤功能，信息学习功能。

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This paper analyses the stability of the single neuron adaptive PID control system and the learning algorithm convergence, and holds that the adaptive PID controller can be made up by using the learning function of the single neuron.

利用神经元的自学习功能构成了自适应PID控制器，分析了神经元自适应控制系统的稳定性和学习算法的收敛性。

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In order to enhance its adaptive characteristics, the parameters of membership functions and fuzzy control rules are modified with neural network learning algorithm.

并将模糊控制与神经网络相结合，设计了模糊神经网络控制器，利用神经网络的学习功能对该控制器的隶属度函数及推理规则进行了修正，以提高其自适应能力。

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Aiming at the problem of case-based preliminary product design, this paper presents a semi-automatic case revisal strategy that has a self-learning capability.

针对基于实例的产品方案设计问题，提出了一种半自动的、具有自学习功能的实例修改策略。

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But the neural network has many advantages, for example, the parallel calculation, the distributed information memory, the admitting-error ability, the self-adapt learning function, etc.

而神经网络具有并行计算，分布式信息存储，容错能力强，自适应学习功能等优点，在处理复杂的人工问题上显示出极优越的地位。

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First, a framework of image retrieval with the function of feedback log learning is designed.

首先，设计了一个具有反馈日志学习功能的图像检索框架。

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We study the analogy between the memristor and synapse, and achieved the synaptic device with inherent learning abilities.

我们通过探究忆阻器与神经突触之间的相似性，获得了具有自主学习功能的智能化器件。

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The Knowledge Acquisition and Learning Function of the Network Organization

试析网络组织的知识获取和学习功能

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Fuzzy neural network can use both the learning function of neural network and the reasoning function of fuzzy logic, so it has high accuracy of identification.

模糊神经网络既充分发挥了神经网络的学习功能，又充分发挥了模糊逻辑的推理功能，因此具有很高的识别精度。

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With the support of those key techniques, we design and realize an INIDS prototype under Linux OS.

通过对关键技术的研究，实现了一个具有自学习功能的INIDS系统原型。

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An analysis is conducted of the types of symptoms in a vibration fault diagnostic system and the principles of symptom acquisition are proposed. Discussed also are the methods for calculating the symptom creditability. The foregoing can be conducive to an enhancement of the failure diagnosis automation level.

分析了振动故障诊断系统中征兆的类型，提出了征兆获取的原则，论述了征兆可信度计算的方法，提高了故障诊断的自动化水平。

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The protection schemes are described as Petri net models, and all couples of fault masses and symptom masses are obtained in the process of analyzing the dynamic characteristics of the models with the help of the transferring state equation.

在建立保护配合的Petri网模型的基础上，用状态转移方程分析模型的动态特性，从中获取所有故障群-征兆群对子。

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The fault sets, fault symptoms and fault feature data are summarized.

总结了凝汽器的故障集、征兆集和故障特征数据。

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Owing to the fuzzy and complicated relationship between the insulation faults and the corresponding symptoms of a large generator, it is a tough job to diagnose its insulation faults with an accurate method.

一台大型发电机是一个复杂系统，由于其绝缘故障与征兆之间的关系模糊复杂，因此很难用精确的方法来诊断。

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It is a key technology for realizing efficient, correct and fast failure symptom acquisition in the study of fault diagnosis knowledge acquisition based on simulation technology.

它是基于仿真技术的故障知识获取方法研究中实现高效、准确、快捷的故障征兆获取的关键技术；

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