Description: 着重研究了水位、布量、水量和转速脉冲检测原理,给出了详细的水位检测、
重量检测电路。实践表明,系统硬件运行稳定,在进行模糊推理及神经网络学习时具有更快的速度-Focused on water, cloth volume, amount and speed pulse detection principle is given in detail the water level detection, the weight detection circuit. Practice shows that the stable operation of system hardware, in fuzzy inference and neural network learning with a faster rate Platform: |
Size: 260096 |
Author:Vmware007 |
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Description: 为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上,
设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混
合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比,
表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。-In order to improve the three-level control of inverted pendulum system response speed and stability, in the design of Mamdani-type fuzzy inference rules of the system controller to control the stability of inverted pendulum on the basis of a more efficient design based on Sugeno-type fuzzy inference rules of fuzzy neural network controller. The controller is the use of BP neural network and hybrid least squares training algorithm parameters can be accurately summed up the amount of input and output fuzzy membership function and fuzzy logic rules. Mamdani-type controller with a simulation comparison shows that the Sugeno-type fuzzy neural network controller for the three-tier control of inverted pendulum system with good stability and fast, as well as a higher control precision. Platform: |
Size: 551936 |
Author:月到风来AA |
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Description: 本文介绍了一种以神经网络为基础并结合专家系统的方法进行图像识
别的系统着重介绍了在设计中较为困难的部分抽象概念的表示和推理机的设
计这些是系统的核心部分决定着系统的整体性能-This paper presents a neural network with expert system-based and integrated approach for image recognition system, highlighting the difficulties in the design of some of the more abstract concepts of representation and inference engine design These are the core of the system determines the system overall performance Platform: |
Size: 218112 |
Author:陈卿 |
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Description: 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 methods of calculation, involving the main package and part of the MATLAB toolbox contents. This book also involve MATLAB Fuzzy Logic toolbox of adaptive neural network fuzzy inference system, adaptive neural network on the mathematical theory of fuzzy inference system, functions and procedures call for using a more detailed discussion. Platform: |
Size: 9960448 |
Author:brave.yan |
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Description: 在MATLAB编程环境下进行模糊神经网络的方针程序，对参考输入进行前件选择，确定合适的模糊语言值核隶属度，然后进行合理的模糊推理确定后件参数。-In the MATLAB programming environment for fuzzy neural network approach procedure prior to the reference input to selection, to determine the appropriate value of core membership of fuzzy language, then a reasonable inference to determine consequent parameters of fuzzy. Platform: |
Size: 2048 |
Author:zhanghao |
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Description: 1、根据福建电网的要求，分析并制定了该专家系统的整体设计方案。
2、应用多智能体的概念研究并建立了本系统的通用认知模型。
3、开发了规则库系统以及推理机。
4、完成了与SCADA系统的接口，接收实时数据。
5、开发了与DMIS系统的接口，实现了操作票的流程的一体化管理。-1.According to the demand of FuJian power network,intergral design scheme of the
Expert System is analysed and formulated.
2．Common cognitive model is researched and built by using the concept of MAS.
3.Rule system and inference machine are developed.
4.The interface of SCADA is completed in order to receive real-time data.
5.The interface of DMIS is developed and integral management of process of order sheet is
achieved. Platform: |
Size: 601088 |
Author:macrotone |
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Description: 在智能故障诊断中, C(C++)语言具有多方面优于传统人工智能语言(如LISP、PROLOG)的特性, 它对递归的支持使得用
其来开发故障诊断专家系统成为可能。本文研究了故障诊断专家系统开发中用到的递归方法及其基于C(C++)的实现, 具体
包括: 动态数据库设计中结构体的递归定义, 推理机设计中函数的递归调用等。针对知识推理中易出现的“循环递归”问题,
提出了一种基于“因果网络直观图”的解决方法。-C ( C++ )language possesses characteristics which are superior to traditional artificial intelligent languages (such as LISP 、
PROLOG) in the intelligent diagnosis, and it is possible to develop expert systems (ES) with its support to recursion. The paper studied
the recursive method used in ES and the key technologies with C (C++) in the construction of fault diagnosis ES, which included
the recursive definition of the dynamic data base structure and recursive function in the design of inference engine. In order to solve
the ‘cyclic recursion’problem which frequently appears in ES, an effective solution based on causal network model was proposed. Platform: |
Size: 54272 |
Author:陈金星 |
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Description: Alchemy: a tool in c++ for markov logic network inference, parameter learning and structure learning
Platform: |
Size: 12003328 |
Author:xyz1712 |
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Description: 简介：
这个玩意儿是我初中的时候搞出来的。能过全世界表面的一个免杀机。
为了方便转卖，请别人给我鼓捣出来一个网络验证的。
前几天无聊，用OD载入分析了下，才发现那个人的技术相当的差劲。
OD载入：
头部显示信息如下：
004716D8 > F9 STC
004716D9 72 14 JB SHORT 鸭软无视.004716EF
004716DB BA 8550D643 MOV EDX,43D65085
004716E0 F5 CMC
004716E1 2049 83 AND BYTE PTR DS:[ECX-7D],CL
004716E4 A0 1D9AF36E MOV AL,BYTE PTR DS:[6EF39A1D]
004716E9 9C PUSHFD
004716EA A1 93ACCAA5 MOV EAX,DWORD PTR DS:[A5CAAC93]
复制代码
推断是易语言编译产生的花指令。可以使用ESP定律直接跳过。
一步一步推进，来到这一步的时候，ESP变红了：
直接HRESP。
脱壳去花不语。
脱壳后，找不到好字符串，所以把程序打开捉摸一下。-Description:
This stuff is out out of my junior high. Over the surface of the world is a Free beholder.
In order to facilitate the resale, others I tinker with it a network authentication.
A few days ago boring OD load analysis, only to find the man s technology is pretty crappy.
OD loading:
The head displayed information is as follows:
004716D8> F9 STC
004716D9 72 14 JB SHORT duck soft disregard .004716 EF
004716DB BA 8550D643 MOV EDX, 43D65085
004716E0 F5 CMC
004716E1 2049 83 AND BYTE PTR DS: [ECX-7D], CL
004716E4 A0 1D9AF36E MOV AL, BYTE PTR DS: [6EF39A1D]
004716E9 9C PUSHFD
004716EA A1 93ACCAA5 MOV EAX, DWORD PTR DS: [A5CAAC93]
Copy the code
The inference is easy language to compile the flowers instructions. ESP s law can be used to skip.
Step-by-step advance, came to this step when ESP turned red:
&# Platform: |
Size: 1168384 |
Author:tangbin |
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Description: Focusing on the passive network, this paper analyzes
the discrete mathematical model and its control strategy of the
passive terminal of the VSC-HVDC system on the basis of the α-β
frame of axes. The method of the functioning-fuzzy-subset
inference is introduced into automatic regulation of the
proportional integral (PI) parameters. Based on the digital signal
processor (DSP), the fuzzy PI control method is adopted and the
VSC-HVDC experiment device is constructed. The experiment of
constant AC voltage control based on fuzzy adaptive PI controller
in transmitting power to passive network via VSC-HVDC system
is developed. Platform: |
Size: 390144 |
Author:Bidyut Hota |
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Description: Bayesian Inference of Signaling Network Topology in a
Cancer Cell Line-To shed light on signaling network topology in specic
contexts, such as cancer, requires interrogation of multiple proteins
through time and statistical approaches to make inferences regarding
network structure. Platform: |
Size: 14336 |
Author:TT.S |
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Description: Title: "Modeling Lung Cancer Diagnosis Using Bayesian Network Inference"
This demo illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl s message-passing algorithm.
Introduction:
Bayesian networks (or belief networks) are probabilistic graphical models representing a set of variables and their dependencies.
The graphical nature of Bayesian networks and the ability of describing uncertainty of complex relationships in a compact manner provide a method
for modelling almost any type of data. Platform: |
Size: 80896 |
Author:atish |
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Description: 《人工神经网络与模糊信号处理.pdf》,书中首先介绍人工神经网络和模糊理论的信号处理概要；其次作为神经网络的典型的例子介绍阶梯型及相互结合型的神经网络以及基于它们的信号处理，还介绍模糊推论和模糊信号处理等；最后示出神经网络与模糊信号处理的种种应用实例，介绍今后以高度智能化系统为目标的人工并列处理模型和智能信号处理等。
-" Artificial neural networks and fuzzy signal processing. Pdf" , the book introduces the theory of artificial neural networks and fuzzy signal processing summary secondly as a typical example of neural networks and the mutual introduction of combined ladder-type neural network as well as their signal-based treatment, also introduced fuzzy inference and fuzzy signal processing finally showing neural networks and fuzzy signal processing various application examples, introduced in the future in a highly artificial intelligent system for the target model of parallel processing and intelligent signal processing. Platform: |
Size: 12932096 |
Author:唐小米 |
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Description: C codes and simulation examples for the ANFIS by Jang (Absolutely original version )-This attached file contains C code and simulation examples for the ANFIS (Adaptive-Network-based Fuzzy Inference System) architecture proposed in [1,2].
Related papers
[1] "ANFIS: Adaptive-Network-based Fuzzy Inference Systems", IEEE Trans. on Systems, Man and Cybernetics, May 1993.
[2] "Fuzzy Modeling Using Generalized Neural Networks and Kalman Filter Algorithms", Proc. of the Ninth National Conference on Artificial Intelligence (AAAI-91), pp 762-767, 1991.
Platform: |
Size: 45056 |
Author:malpig |
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Description: 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 probabilities derived from their mutual rating history. A user propagates a content rating query along the social network to his direct and indirect friends. Based on the query responses, a Bayesian network is constructed to infer the rating of the querying user. We develop
distributed protocols that can be easily implemented in online social networks. Platform: |
Size: 735232 |
Author:ali |
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Description: PHY LAYER OFDM MODEL SIMULATION: by the use of orthogonal frequency channels, the efficiency of the network is boosted and inference is in a way decreased Platform: |
Size: 678912 |
Author:Jasmine |
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Description: Machine Learning
Statistics
network, graphs
model
focus on prediction
focus on inference
weights
parameters
learning
fitting
generalization
test set performance
supervised learning
regression/classification
unsupervised learning
density estimation, clustering
large grant = $1,000,000
large grant = $50,000
nice place to have a meeting: Snowbird, Utah, French Alps
nice place to have a meeting: Las Vegas in August Platform: |
Size: 1547264 |
Author:TOUNSI |
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Description: 贝叶斯网络是一种概率网络，它是基于概率推理的图形化网络，而贝叶斯公式则是这个概率网络的基础。贝叶斯网络是基于概率推理的数学模型，所谓概率推理就是通过一些变量的信息来获取其他的概率信息的过程，基于概率推理的贝叶斯网络(Bayesian network)是为了解决不定性和不完整性问题而提出的，它对于解决复杂设备不确定性和关联性引起的故障有很大的优势，在多个领域中获得广泛应用。(Bias network is a probabilistic network, which is a graphical network based on probabilistic reasoning, and the Bias formula is the basis of this probabilistic network. Bias network is a mathematical model based on probability theory, a process called probabilistic reasoning is through some variable information to obtain the probability information of other Bias network based on probabilistic inference (Bayesian network) is put forward in order to solve the uncertainty and incompleteness problem, it has great advantage for solving fault caused by complex equipment the uncertainty and relevance, is widely used in many fields.) Platform: |
Size: 3511296 |
Author:sugll
|
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Search - inference in network