自学习

基于XML的案例表示和自学习案例检索模型的研究

Research of case-base representation based on XML and case retrieval model on self-learning

Fuzzy的自学习控制

Self-learning Control of Fuzzy

本文给出了一个带有自学习和双向互选机制的加权网络演化模型.模型有两个参数进行控制。首先是自学习概率p，即在一个时间步每个点以概率p把点权加1；

In this paper , we propose a self-learning mutual selection model to characterize weighted evolving networks .

提出一种用GPS接收机通过自学习方式进行车辆自主导航和引导的方法。

A self-study type vehicle autonomous navigation method using GPS receiver is introduced .

用FPGA实现的复合神经网络自学习算法电路

Circuit for Self Learning Algorithm of Complex Neural Networks Using FPGA

重点阐述了模型中的案例表示和案例检索两项关键技术，提出了用XML语言表示案例的方法和自学习案例检索模型。

Subsequently the thesis focuses on case presentation and case retrieval , two key technologies in CBR .

自学习神经元及自学习BP网络

Self-earning neurons and self learning BP Networks

PID神经网络具有在线自学习能力，通过无教师的自学习方式，PID神经网络成功地实现了不同的系统辨识。

PID neural networks have the online self-studying ability and has successfully identified many different systems .

自学习自适应INS／Doppler组合导航系统

Ins / doppler integrated navigation system based on learning adaptive Kalman filtering

神经网络自学习PID控制器

Neural Network Self-learning PID Controller

再经过神经网络的自学习、自调整，得到优于常规PID控制器的效果。

Then by self-learning and self-adjusting , the neural network results in better effect of conventional PID controller .

使用了正则表达式和自学习相结合的方式，利用web结构分析技术对网页进行结构分析和模式匹配，力图使系统拥有自动分析大部分网页并提取和归类保存其中关键信息的功能。

With the help of REs and self learning system , it analyses and matches webs ' structure , using the technology of webs ' structure analyzing .

并行实现有自学习能力的五子棋AI

Parallel Implementation of Gobang AI with Self-Learning Ability

智能评估系统能利用BP网络的非线性映射和自学习能力，对浮筏隔振装置方案设计进行智能评估。

It can intelligent evaluate the raft vibration-isolating unit design based on the abilities of nonlinear mapping and self-learning of the BP .

本文将PID与神经网络相结合，利用神经网络的自学习功能实时的改变控制器的参数。

This text combine PID with neural network , utilize to learn function real-time change parameter of controller by oneself neural network .

基于自学习模糊神经网络AMT车辆巡航控制

Investigation on AMT vehicle cruise control using self-lear-ning fuzzy neural networks

最后，本文采用了基于反向传播算法（BP算法）的神经网络系统来识别字符，其优点是结构设计简单，自学习能力较强，识别速度快。

Last the article make the network with BP Algorithm to recognize the character , the strongpoint is great self-studying ability and fast speed .

遗传算法（GA）是通过模拟生物进化过程来达到自学习与优化的目的。

Genetic algorithm ( GA ) is an optimal algorithm with the iteration that simulates the process of biologic evolution .

通过参考模型与被控对象输出的偏差来实时调整Fuzzy控制规则，构成了自学习Fuzzy控制器。

The derivatives between the output of reference model and the output of controller plant are used to adjust the fuzzy control regulation so that a self-learning fuzzy'controller is built ' .

在BP神经网络自学习的基础上得到稳定的知识库，进而对工程项目的安全管理状态进行评价。

On the foundation of the BP neural network knowledge , this paper carried out the evaluations of the safety management status of a project .

基于CMAC的飞机液压脉冲台自学习控制

Self-learning Control for Airplane Hydraulic Impulse Platform Based on CMAC

神经网络具有自学习和并行处理信息的能力，其BP学习算法对于建立和调整模糊推理系统效果比较好；

Neural network has the abilities of self-learning and parallel-processing , and its BP algorithm is a powerful method to establish and tune fuzzy inference systems .

基于高阶CMAC网络的机器人自学习控制器

High Order CMAC-Based Self Learning Controller for Robotic Manipulators

采用具有自学习能力的BP神经网络与传统PID相结合的智能控制算法对温度对象实施控制，该算法简单、易于实现。

This intelligent control algorithm combines BP neuron network which has the self-learning ability with traditional PID . It is simple to calculate and easy to realize .

基于CMAC的电液负载模拟器自学习控制

CMAC-based self-learning control for the electrohydraulic load simulator

仿真结果表明，其构成的神经PID网络多变量控制器具有很强的自学习功能和自适应解耦能力。

The results of simulation show that the multiple variable controller composed of neuro PID network features powerful self - learning and self - adaptive decouple capabilities .

该算法将遗传算法引入支持向量机中，在自学习的过程中，能够自动调整SVM的核参数，获取准确的图像信息。

The model introduced genetic algorism into SVM , so it can adaptively adjust kernel parameters of SVM and obtain exact image information .

在系统中，设计出了借款企业财务状况BP神经网络模型，使系统增加自学习能力和对环境自适应能力。

In system , design the borrowing business enterprise financial standing BP nerve network model , make system increment from study ability with to environment from orientation ability .

本文利用BP网络来建立拟合参数与箱梁模型几何尺寸、载荷特性等之间的非线性映射关系，通过网络的自学习功能得到稳定的网络。

In the paper , a BP networks is founded to show the relationship of the box girder dimensions and load 's peculiarity with the parameters of fitting .

MATLAB神经网络具有很强的自适应性和自学习能力，可以用来处理那些难以用数学模型描述的系统。

MATLAB neural network and has the powerful self-adaptive and self-learning capability and can be used to deal with the system which mathematical model is hard to describe .