基本算法

Based on the consideration above, the principles of forgetting in remembering psychology are introduced in this section to investigate the reinforcement learning about value functions, specially for SARSA algorithm, and we established a class of forgetting algorithms be fit for value functions reinforcement learning.

基于上述考虑，将记忆心理学中有关遗忘的基本原理引入值函数的激励学习算法的研究之中，特别是对于著名的SARSA算法，形成了一类适合于值函数激励学习的遗忘算法。

The principle of system design is as follows: At first, compartmentalizing the arithmetic of sterovision measurement. We use FPGA logic units Customized hardware blocks to implement the arithmetic which is simple and large data-computing, and the data is transferred on pipeline between each blocks, otherwise, use software program in NiosⅡ to implement the complicated and small data-computing arithmetic. So the system is high-speed and flexible.

系统设计的基本思想如下：首先针对视觉测量算法进行划分，对算法简单、数据处理量大的部分用 FPGA逻辑单元自定义硬件模块的方法实现，各硬件模块之间数据采取流水线操作；算法复杂、数据处理量小的部分则在 Nios II软核中用软件的方法实现，从而使本系统既具速度优势又具良好的灵活性。

As one of contributions of this thesis, an improved decoding algorithm based on the WBF algorithm is proposed.

在WBF算法的基础上，论文提出了一种新的迭代译码算法，该算法在基本不增加译码复杂度的情况下，对译码性能有较大的提高。

The third is how the emission amount is foreknown under the neural network and Genetic Algorithms. The data management of Gas and prediction system will be discussed.

论文在简单介绍神经网络和遗传算法的基本原理后，提出了神经网络和遗传算法的瓦斯涌出量预测方法，将神经网络和遗传算法应用于瓦斯涌出量预测问题。

this paper makes the gas remote monitor network as background to do some research on the qos guarantee of the network.qos is a synthesis guide line which can be used to estimate the degree to satisfy with some server,which is a technology to solve the problem of delay and congestion in network.it must integrate multi-qos mechanism to get good qos guarantee in the practical application.three qos models in the ip net application and homologized affective factors are demonstrated.meanwhile,the field of qos protection strategy arrangement in shaanxi coal mine gas network has been picked up as the example.for this situation,the comparison to the different qos models is doing strictly.by combining the tcp congestion control arithmetic with ip congestion control arithmetic,the paper also emphatically describes the corresponded arithmetic model for that.stimulatingly,it is promoted the qos characteristic over-area effectively,which it is based on the original single congestion control.

摘 要：以陕西煤矿瓦斯监测远程联网为背景，研究其联网网络的qos保障策略实现。由于现有的各种qos实现机制无法单独为陕西煤矿瓦斯监测联网网络的qos提供保障，因此在实际应用中必须结合多种机制才能得到较好的qos保障效果。比较了传统ip网络的qos结构体系，通过分析intserv和diffserv两种模型的基本原理、工作方式，并指出其各自的优缺点和网络应用环境，设计了将rsvp协议与diffserv模型相结合来满足瓦斯监测数据传输实时性的要求；针对陕西煤矿瓦斯联网的特性，提出了将tcp拥塞控制算法与ip层拥塞控制算法相结合的算法模型，并且该模型的应用可以在原有单一拥塞控制的基础上有效地提升跨地区网络的qos特性。

this paper makes the gas remote monitor network as background to do some research on the qos guarantee of the network.qos is a synthesis guide line which can be used to estimate the degree to satisfy with some server,which is a technology to solve the problem of delay and congestion in network.it must integrate multi-qos mechanism to get good qos guarantee in the practical application.three qos models in the ip net application and homologized affective factors are demonstrated.meanwhile,the field of qos protection strategy arrangement in shaanxi coal mine gas network has been picked up as the example.for this situation,the comparison to the different qos models is doing strictly.by combining the tcp congestion control arithmetic with ip congestion control arithmetic,the paper also emphatically describes the corresponded arithmetic model for that.stimulatingly,it is promoted the qos characteristic over-area effectively,which it is based on the original single congestion control.

摘 要：以陕西煤矿瓦斯监测远程联网为背景，研究其联网网络的qos保障策略实现。由于现有的各种qos实现机制无法单独为陕西煤矿瓦斯监测联网网络的qos提供保障，因此在实际应用中必须结合多种机制才能得到较好的qos保障效果。比较了传统ip网络的qos结构体系，通过分析intserv和diffserv两种模型的基本原理、工作方式，并指出其各自的优缺点和网络应用环境，设计了将rsvp协议与diffserv模型相结合来满足瓦斯监测数据传输实时性的要求；针对陕西煤矿瓦斯联网的特性，提出了将tcp拥塞控制算法与ip层拥塞控制算法相结合的算法模型，并且该模型的应用可以在原有单一拥塞控制的基础上有效地提升跨地区网络的qos特性。关键词：服务质量；综合服务模型；区分服务模型；拥塞控制

The coding,crossover,mutating and selecting operations of Genetic Algorithm are designed to solve the problem.

同时，针对基本遗传算法在解决优化问题上的不足，本文对遗传算法的编码、交叉、变异、选择操作进行了设计，采用自适应交叉率的遗传算法进行模型求解。

The research work in this dissertation aim to apply the advanced technique in practice, that ramifies three parts: at first, the basic study of the computer vision, especially the stereo vision, include their technical mechanisms, methods and algorithms resolves the same technical problems of endoscopy and ferrograhpy based on stereo vision.

本文的研究工作以技术应用为目标，分为三大部分：首先是对计算机视觉，特别是立体视觉技术机理、方法和算法的基本研究，主要解决了立体视觉在内窥探伤与铁谱检测中应用的技术共同点；其次是对基于立体视觉的发动机内窥探伤的技术研究和系统开发，解决了立体视觉用于内窥图像这一宏观图像的技术和算法实现问题，其中包括对内窥场景的视觉重建和对发动机内部典型损伤的分析；最后对基于立体视觉的磨粒分析技术的系统构架、实施方法和相关算法进行了研究，主要解决了立体视觉用于磨粒显微图像的技术问题，并对融合三维描述参数的磨粒形态综合识别方法进行了初步研究与探讨。

The research work in this dissertation aim to apply the advanced technique in practice, that ramifies three parts: at first, the basic study of the computer vision, especially the stereo vision, include their technical mechanisms, methods and algorithms resolves the same technical problems of endoscopy and ferrograhpy based on stereo vision. Secondly, the endoscopy of engine fault inspection based on stereovision is researched and the system faced to this application is developed, thus the problems of stereovision applied to macroscopical images such as endoscopic images are resolved in method and computation. In addition, inside scenes are reconstructed and typical damages of engine inside are analyzed. Thirdly, the investigations of system formation, methods applied and algorithms study of debris analysis based on stereovision is carried out. Thus the problems of stereovision applied in debris analysis are resolved mainly. Furthermore, the integrated method combine with 3D symbolic parameters is studied and discussed for the recognition of debris configuration in pilot.

本文的研究工作以技术应用为目标，分为三大部分：首先是对计算机视觉，特别是立体视觉技术机理、方法和算法的基本研究，主要解决了立体视觉在内窥探伤与铁谱检测中应用的技术共同点；其次是对基于立体视觉的发动机内窥探伤的技术研究和系统开发，解决了立体视觉用于内窥图像这一宏观图像的技术和算法实现问题，其中包括对内窥场景的视觉重建和对发动机内部典型损伤的分析；最后对基于立体视觉的磨粒分析技术的系统构架、实施方法和相关算法进行了研究，主要解决了立体视觉用于磨粒显微图像的技术问题，并对融合三维描述参数的磨粒形态综合识别方法进行了初步研究与探讨。

The research work in this dissertation aim to apply the advanced technique in practice, that ramifies three parts: at first, the basic study of the computer vision, especially the stereo vision, include their technical mechanisms, methods and algorithms resolves the same technical problems of endoscopy and ferrograhpy based on stereo vision. Secondly, the endoscopy of engine fault inspection based on stereovision is researched and the system faced to this application is developed, thus the problems of stereovision applied to macroscopical images such as endoscopic images are resolved in method and computation. In addition, inside scenes are reconstructed and typical damages of engine inside are analyzed. Thirdly, the investigations of system formation, methods applied and algorithms study of debris analysis based on stereovision is carried out. Thus the problems of stereovision applied in debris analysis are resolved mainly. Furthermore, the integrated method combine with 3D symbolic parameters is studied an d discussed for the recognition of debris configuration in pilot.

本文的研究工作以技术应用为目标，分为三大部分：首先是对计算机视觉，特别是立体视觉技术机理、方法和算法的基本研究，主要解决了立体视觉在内窥探伤与铁谱检测中应用的技术共同点；其次是对基于立体视觉的发动机内窥探伤的技术研究和系统开发，解决了立体视觉用于内窥图像这一宏观图像的技术和算法实现问题，其中包括对内窥场景的视觉重建和对发动机内部典型损伤的分析；最后对基于立体视觉的磨粒分析技术的系统构架、实施方法和相关算法进行了研究，主要解决了立体视觉用于磨粒显微图像的技术问题，并对融合三维描述参数的磨粒形态综合识别方法进行了初步研究与探讨。

Do you know, i need you to come back

你知道吗，我需要你回来

Yang yinshu、Wang xiangsheng、Li decang,The first discovery of haemaphysalis conicinna.

1〕 杨银书，王祥生，李德昌。安徽省首次发现嗜群血蜱。