Based on fuzzy neural network, this paper presents a self learning controller used to industrial kiln temperature system.
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。
The case demonstrates that CBR has the characteristics of high efficiency and self learning with contrast to conventional Rule Based Reasoning (RBR).
结果表明，与传统的基于规则推理(rbr)相比，CBR具有效率高且有自学习能力的优点。
The "self learning" teaching philosophy has gradually become the main trend, but classroom teaching remains the main form of medical courses teaching.
前言：以“自主学习”为主的教学理念渐成趋势，但是课堂教学仍然是医学课程教学的主要形式。
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.
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。
The neural networks have many advantages such as nonlinear map, self-learning, distributional memory, parallel processing and so on.
神经网络则具有非线性映射、自学习能力、分布存储能力及并行处理信息等优点。
A dynamic self-learning efficient intrusion detection model was proposed based on inductive reasoning.
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。
IDS based on data mining has the functions of self -learning and self -completing, it can detect the know and unknown intrusion activities.
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。
This model has good adaptability and self-learning function.
该模型具有良好的适应性和自学习功能。
The paper discusses a new self-learning control system.
本文讨论一种新型的自学习控制系统。
Not only Intelligent control and self-learning control but also the basic principle of the iteration self-learning control are described.
概述了智能控制和自学习控制，阐述了迭代自学习控制的基本原理。
Neural network have the abilities of self-learning, adapt and parallel management, but the structural selection lacks academic bases.
神经网络具有自学习，自适应，并行处理的能力，但结构的选择缺乏理论依据。
Neutral network computer can simulate human brains in parallel information processing manner, with functions of striking self-learning, thinking, reasoning, judging, and memorizing.
神经网络计算机能模拟人脑的并行处理方式，具有惊人的自学习、思维、推理、判断和记忆的功能。
Based on fuzzy T-S model, a fuzzy method with self-learning capability for batch process modeling and optimal control is presented.
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。
For Variable Valve Timing (VVT) system, a kind of self-learning control method was proposed.
针对可变相位机构，提出了一种自学习型的控制方法。
Simulation results prove that the method can realize the ability of self-learning.
通过对发酵过程控制的仿真研究，表明该方法能够实现自学习的能力。
The self-learning fuzzy control based on sliding mode control is applied to the attitude stabilization of flexible satellites.
将基于滑模控制的自学习模糊控制应用于挠性卫星的姿态稳定控制中。
Aimed at the low self-learning ability drawbacks of traditional expert system, artificial neural networks(ANN) were applied in crop nutrition diagnosis system.
针对传统专家系统自学习能力差的缺点，设计了基于神经网络的作物营养诊断专家系统。
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.
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。
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。
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.
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。
Comparing with Decision Tree algorithms, this system chooses the C4.5 to realize the self-learning module.
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。
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 system can implement fault diagnosis as well as self-learning.
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 least square method of computer adaptation is applied to complete the function of computer self-learning of membership function in fuzzy diagnosis 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 PID controller based on BP neural networks is designed to realize control parameter self-learning and self-adjusting.
设计了基于BP神经网络的PID控制器，实现PID控制器参数自学习、自整定。
There is no learning, only self-learning.
没有学习，只有自我学习。
There is no learning, only self-learning.
没有学习，只有自我学习。
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