Description: 一种改进的自适应滤波器的状态估计，效果非常之好,是用MATLAB编写的，直接在matlab下运行就可以看到完美的滤波效果，自适应算法是sage—husa算法，较传统的滤波器有很大提高-An improved adaptive filter state estimation, the effect is definitely a good thing, is to use MATLAB prepared directly in matlab run will be able to see the effect of a perfect filter, adaptive algorithm is sage-husa algorithm, a more traditional filter machine has greatly improved Platform: |
Size: 1024 |
Author:周志远 |
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Description: 模型利用协商历史中隐含的信息自动对数据进行标注以形成训练样本，用最小二乘支持向量回
归机学习此样本得到对手效用函数的估计，然后结合自己和对手的效用函数构成一个约束优化问题，用遗传算法求
解此优化问题，得到的最优解就是己方的反建议．实验结果表明，在信息保密和没有先验知识的条件下，此模型仍然
表现出较高的效率和效用-The proposed model labels the negotiation history data automatically by making full use of the implicit
information in negotiation history．Then，the labeled data become the training samples of least-squares support
vector machine that outputs the estimation of opponent’s utility function．After that，the self s utility function and
the estimation of opponent’s utility function constitute a constraint optimization problem that will be further figured
out by genetic algorithm．The optimal solution is the counter-ofer of onesel~ Experimental results show that the
proposed model is efective and efi cient in environments where information is private and the prior knowledge is
not available． Platform: |
Size: 514048 |
Author:11 |
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Description: Paper about a new close loop current model flux observer to estimate the rotor flux, position and velocity of an induction machine. The current observer includes carefully designed sliding mode functions which are derivative of the fluxes along the and axes. Therefore, when the estimated current converges to the measured one, the flux estimation is a mere integration of the sliding mode function. Platform: |
Size: 484352 |
Author:gregbur |
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Description: 支持向量机是一种新颖的机器学习方法，主要用于模式识别、回归预测、函数逼近、参数估计。相比于其他的学习方法，支持向量机不仅克服了非线性，局部极小和维数灾难问题，而且具有更好的泛化能力。-Support vector machine is a novel machine learning method, mainly for pattern recognition, regression, function approximation, parameter estimation. Compared with other learning methods, support vector machines not only to overcome the nonlinear and local minima, and the curse of dimensionality, but also has better generalization ability. Platform: |
Size: 2397184 |
Author:lily |
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Description: 是自己写的关于机器学习中密度估计的代码,分类不是太准确，需改进-Write your own machine learning on the code in the density estimation, classification is not too accurate, need to improve Platform: |
Size: 800768 |
Author:陈楠 |
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Description: 是有关机器学习中讲密度估计的好资料，自己找了很久才找到的，国外人写的很容易懂，乐意分享-Machine learning is related to good information about density estimation, for a long time to find your own, and foreign people to write easy to understand, are willing to share Platform: |
Size: 463872 |
Author:陈楠 |
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Description: a comparative study between a PI regulator and fuzzy
regulator for a control speed of a Dual Star Induction Machine (DSIM) supplied with two
PWM voltage source inverter (VSI) and decoupled by field oriented control (FOC).The
simulation results illustrate the robustness and efficiency of the fuzzy regulator to the
parametric variations. Platform: |
Size: 311296 |
Author:RED1SAD |
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Description: 类的目的就是根据现有的图像特征建立一个分类器，能够对未知的图像类型进行预测。在现有众多分类
算法中，贝叶斯分类器由于其坚实的数学理论基础并能综合先验信息和数据样本信息，成为"-3前机器学习和数据挖
掘的研究热点之一。本文论述了内容图像检索中基于贝叶斯分类器的图像分类技术。介绍了贝叶斯分类器，叙述了
利用贝叶斯分类器进行图像分类的方法，以及图像特征的分布假定。最后通过对分类器的探讨，总结了贝叶斯估计
分类的不足。-The purpose of class is based on an existing image features to create a classifier able to predict the unknown image type. Many of the existing classification algorithm, the Bayesian classifier because of its solid mathematical theory-based and comprehensive information prior information and data samples, a " -3 before the machine learning and data mining research focus of this paper discusses the Content-based Image Retrieval Bayesian classifier image classification techniques. introduced Bayesian classifier, described the use of Bayesian classifier for image classification methods, and the distribution of image features is assumed finally by classifier discussion summarizes the classification of the lack of Bayesian estimation. Platform: |
Size: 260096 |
Author:刘东 |
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Description: SVM Multiregression for Non Linear
Channel Estimation in Multiple-Input
Multiple-Output Systems
在多输入多输出系统中的SVM多元回归非线性逼近-This paper addresses the problem of Multiple-Input Multiple-Output (MIMO) frequency non-selective
channel estimation. We develop a new method for multiple variable regression estimation based on Sup-
port Vector Machines, a state-of-the-art technique within the machine learning community for regression
estimation. We show how this new method, that we call M-SVR, can be effi ciently solved. The pro-
posed regression method is evaluated in a MIMO system under a channel estimation scenario, showing
its benefi ts in comparison to previous proposals when non linearities are present in either the transmitter
or the receiver sides of the MIMO system. Platform: |
Size: 120832 |
Author:lux |
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Description: 本文提出了一种基于小波变换与灰度共生矩阵的人群密度特征提取方法，进而利用支撑向量机实现人群密度级别的估
计。实验结果表明本文提出的方法是可行的。-In this paper, based on population density characteristics of the wavelet transform and GLCM extraction method, and then using the support vector machine to estimate the crowd density level. The experimental results show that the proposed method is feasible. Platform: |
Size: 714752 |
Author:刘伟豪 |
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Description: 可以动态调节运行环境的参数，主同步信号PSS在时域上的相关仿真，有信道编码，调制，信道估计等，是机器学习的例程，用于信号特征提取、信号消噪，pwm整流器的建模仿真。-Can dynamically adjust the parameters of the operating environment, PSS primary synchronization signal in the time domain simulation related, Channel coding, modulation, channel estimation, Machine learning routines, For feature extraction, signal de-noising, Modeling and simulation pwm rectifie. Platform: |
Size: 9216 |
Author:nwrbxb |
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Description: 复化三点Gauss-lengend公式求pi，包括广义互相关函数GCC时延估计，是机器学习的例程。- Complex of three-point Gauss-lengend the Formula pi, Including the generalized cross-correlation function GCC time delay estimation, Machine learning routines. Platform: |
Size: 4096 |
Author:nen |
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Description: 可以得到很精确的幅值、频率、相位估计，是机器学习的例程，包括广义互相关函数GCC时延估计。- You can get a very accurate amplitude, frequency, phase estimation, Machine learning routines, Including the generalized cross-correlation function GCC time delay estimation. Platform: |
Size: 5120 |
Author:曹彦庆 |
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Description: OpenPose人体姿态识别项目是美国卡耐基梅隆大学（CMU）基于卷积神经网络和监督学习并以caffe为框架开发的开源库。可以实现人体动作、面部表情、手指运动等姿态估计。适用于单人和多人，具有极好的鲁棒性。是世界上首个基于深度学习的实时多人二维姿态估计应用，基于它的实例如雨后春笋般涌现。人体姿态估计技术在体育健身、动作采集、3D试衣、舆情监测等领域具有广阔的应用前景，人们更加熟悉的应用就是抖音尬舞机(OpenPost Human Attitude Recognition Project is an open source library developed by Carnegie Mellon University (CMU) based on convolutional neural network and supervised learning and caffe framework. Posture estimation such as human motion, facial expression and finger movement can be realized. It is suitable for single person and multi-person, and has excellent robustness. It is the first real-time multi-person two-dimensional attitude estimation application based on deep learning in the world. Examples based on it have sprung up like mushrooms after a spring rain. Human posture estimation technology has broad application prospects in sports fitness, motion acquisition, 3D fitting, public opinion monitoring and other fields. People are more familiar with the application of tremolo embarrassing dance machine.) Platform: |
Size: 45787136 |
Author:对对对对的 |
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