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tomography
- 基于层析成像技术的网络拓扑判定研究.层析成像技术简介,网络拓扑探测技术,网络拓扑推断,系统聚类树算法及实验-Based on tomographic imaging techniques to determine the network topology studies. Tomography profiles, network topology detection technology, network topology inference, hierarchical clustering t
Adaptive_Neuro_Fuzzy_Inference_System
- dipapo over anfis ( adaptive neuro fuzzy inferaznce system) with optimisation algorithm
code
- 一种基于知识规则推理的C++实现方法,很实用，内含代码，简单清晰明了-A Knowledge-based rules of inference C++ Implementation
AppliedStatisticsUsingSPSSSTATISTICAMATLAB
- his book is intended as a reference book for students, professionals and research workers who need to apply statistical analysis to a large variety of practical problems using STATISTICA, SPSS and MATLAB. The book chapters provide a comprehe
weatherOntology
- 本论文结合模式识别技术，在基于本体理论的基础上研究并实现强对流天气推理系统。该系统通过模式识别技术对图像数据进行预处理和特征提取，从中获取有用的特征信息，并结合气象专业知识，对特征信息进行分析，抽象出符合一定气象意义的知识，建立领域本体库，在此基础上研究并设计强对流领域推理规则，进而建立起强对流天气推理系统，以提高强对流气象预报领域的计算机化、快速化和实时化。-This paper combines the pattern recognition technology, ontology-bas
Matlab_and_auto_adapted_neural_network_fuzzy_reaso
- 本书着重介绍MATLAB在工程数据数学处理中应用的基础知识和计算方式，其内容涉及MATLAB主包和部分工具箱内容。本书另外涉及MATLAB系统的模糊逻辑工具箱的自适应神经网络模糊推理系统，对自适应神经网络模糊推理系统的数学原理、功能使用和程序调用进行了较详细的论述。-This book focuses on MATLAB mathematical treatment in the application of engineering data, the basic knowledge and m
Resistancefurnacetemperaturedigitalcontrol
- 温度是工业生产中常见的工艺参数之一，任何物理变化和化学反应过程都与温度密切相关，因此温度控制是生产自动化的重要任务。对于不同生产情况和工艺要求下的温度控制，所采用的加热方式，燃料，控制方案也有所不同。例如冶金、机械、食品、化工等各类工业生产中广泛使用的各种加热炉、热处理炉、反应炉等；燃料有煤气、天然气、油、电等；控制方案有直接数字控制（DDC），推断控制，预测控制，模糊控制（Fuzzy），专家控制(Expert Control)，鲁棒控制（Robust Control），推理控制等。 -Tem
inference-programme
- 面向对象推理机的设计,主要设计了一个面向对象的推理机-Design of inference machine using object programme tools，mainly work on design a inference machine
505Prolog
- prolog 项目，负责parse一个代码文件，并且输出type inference-a prolog project, responsible for reading a source code file, and output the type inference of that file
Dynamic-Bayesian-Networks-Representation--Inferen
- Dynamic Bayesian Networks Representation, Inference And Learning - Kevin Patrick Murphy
An-Improved-ModeBased
- 针对关节式物体检测的复杂性, 本文提出一种新颖的视觉推理方法。该方法基于可变形的物 体模型, 同时利用图像中所包含的边缘信息特征( 不依赖于局部特征, 如肤色等) 及各子部件的空间位置关 系, 迭代地进行关节式物体检测和定位估计。实验证明, 该方法有较强的抗背景干扰能力, 视觉上能大幅 度改进关节式物体检测、定位的结果-Aiming at the complex ity of art iculated object detect ion, this paper pro poses a
Matlab-(2)
- 基于Matlab编程方法实现模糊推理及解模糊的方法研究-Matlab programming method based on fuzzy inference and defuzzification method
anfisedit-learing-method-
- 这是一个matlab中的一个非常实用的软件，值得一下·里面详细介绍了anfisedit 怎么操作，还有程序运行的结果，当然还有源代码，对于研究模糊推理的人员有帮助-This is a matlab in a very practical software, worth about which details how anfisedit operation, as well as the results of running, of course, the source code for rese
APJOR-article-ANFIS
- APPLICATION OF ADAPTIVE NEURO FUZZY INFERENCE SYSTEM IN THE PROCESS OF TRANSPORTATION SUPPORT
Bayesian-Inference-Based-Recdation-(1)-(1)
- In this paper, we propose a Bayesian inference-based recommendation system for online social networks. In our system,users share their content ratings with friends. The rating similarity between a pair of friends is measured by a set of conditional p
dynamic-region-merging
- In the proposed algorithm, these two issues are solved by a novel predicate, which is defined by the sequential probability ratio test (SPRT) and the minimal cost criterion. Starting from an over-segmented image, neighboring regions are progressivel
modDRF.pdf
- In this paper we present Discriminative Random Fields (DRF), a discrim- inative framework for the classification of natural image regions by incor- porating neighborhood spatial dependencies in the labels as well as the observed data. The proposed mo
Anfis
- Adaptive neuro fuzzy inference system
Information-Theory-Inference-and-Learning-Algorit
- Information Theory inference and Learning Alghoritms Book
CRF
- This is a Matlab/C++ toolbox of code for learning and inference with graphical models. It is focused on parameter learning using marginalization in the high-treewidth setting. Though the code is, in principle, domain independent, I ve developed it wi