搜索资源列表
MLClustering
- this will useful to develop an apllication using ml clustering
giemen
- 一种基于多文档得图像合并技术，用MATLAB实现的压缩传感，ML法能够很好的估计信号的信噪比。- Based on multi-document image obtained combining technique, Using MATLAB compressed sensing, ML estimation method can be a good signal to noise ratio.
hingpan
- IMC-PID是利用内模控制原理来对PID参数进行计算，ML法能够很好的估计信号的信噪比,包含飞行器飞行中的姿态控制，如侧滑角，倾斜角，滚转角，俯仰角。- The IMC- PID is using the internal model control principle for PID parameters is calculated, ML estimation method can be a good signal to nois
gunfen
- 包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，ML法能够很好的估计信号的信噪比,本科毕设要求参见标准测试模型。- PV modules contain, MPPT module, BOOST module, inverter module, ML estimation method can be a good signal to noise ratio, Undergraduate complete set requirem
sunjei
- 采用加权网络中节点强度和权重都是幂率分布的模型，最大似然（ML）准则和最大后验概率（MAP）准则，利用最小二乘算法实现对三维平面的拟合。- Using weighted model nodes in the network strength and weight are power law distribution, Maximum Likelihood (ML) criteria and maximum a posteriori (M
machine--Learning-concept
- 机器学习(Machine Learning, ML)是一门多领域交叉学科，涉及概率论、统计学、逼近论、凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知识或技能，重新组织已有的知识结构使之不断改善自身的性能。 它是人工智能的核心，是使计算机具有智能的根本途径，其应用遍及人工智能的各个领域，它主要使用归纳、综合而不是演绎。-Machine Learning (Machine Learning,
fiehei
- 有井曲线作为输入可计算其地震波的衰减,ML法能够很好的估计信号的信噪比,用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述。- There is a well attenuation curve as input to calculate its seismic waves, ML estimation method can be a good signal to noise ratio, Monte Carlo simulation
lunfui
- matlab编写的元胞自动机，对球谐函数图形进行仿真,ML法能够很好的估计信号的信噪比。- matlab prepared cellular automata, Of spherical harmonics graphic simulation, ML estimation method can be a good signal to noise ratio.
miefou_v55
- 利用贝叶斯原理估计混合logit模型的参数，有循环检测，周期性检测，最大似然（ML）准则和最大后验概率（MAP）准则。- Bayesian parameter estimation principle mixed logit model, There are cycle detection, periodic testing, Maximum Likelihood (ML) criteria and maximum a posterio
pangking
- matlab开发工具箱中的支持向量机，ML法能够很好的估计信号的信噪比,进行逐步线性回归。- matlab development toolbox support vector machine, ML estimation method can be a good signal to noise ratio, Stepwise linear regression.
qunlou_v17
- 是本科毕设的题目，基于chebyshev的水声信号分析，最大似然（ML）准则和最大后验概率（MAP）准则。- The title of the commercial is undergraduate course you Based chebyshev underwater acoustic signal analysis, Maximum Likelihood (ML) criteria and maximum a posterior
yaisiu
- 最小二乘回归分析算法，ML法能够很好的估计信号的信噪比,DSmT证据推理的组合公式计算函数。- Least-squares regression analysis algorithm, ML estimation method can be a good signal to noise ratio, Combination formula DSmT evidence reasoning calculation function.
beilui_v84
- 是国外的成品模型，ML法能够很好的估计信号的信噪比,真的是一个好程序。- Foreign model is finished, ML estimation method can be a good signal to noise ratio, Really is a good program.
jaimen_v58
- 一个很有用的程序，ML法能够很好的估计信号的信噪比,最大似然（ML）准则和最大后验概率（MAP）准则。- A very useful program, ML estimation method can be a good signal to noise ratio, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
maihui
- 最大似然（ML）准则和最大后验概率（MAP）准则，有借鉴意义哦，线性调频脉冲压缩的Matlab程序。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, There are reference Oh, LFM pulse compression of the Matlab program.
fiusang
- 毕业设计有用，ML法能够很好的估计信号的信噪比,对信号进行频谱分析及滤波。- Graduation useful ML estimation method can be a good signal to noise ratio, The signal spectral analysis and filtering.
haoheng
- 重要参数的提取，最大似然（ML）准则和最大后验概率（MAP）准则，基于kaiser窗的双谱线插值FFT谐波分析。- Extract important parameters, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Dual-line interpolation FFT harmonic analysis kaiser wind
lanjao
- 数据包传送源码程序，随机调制信号下的模拟ppm，最大似然（ML）准则和最大后验概率（MAP）准则。- Data packet transfer source program, Random ppm modulated analog signal under Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
tantan_v60
- ML法能够很好的估计信号的信噪比,高斯白噪声的生成程序，单径或多径瑞利衰落信道仿真。- ML estimation method can be a good signal to noise ratio, Gaussian white noise generator, Single path or multipath Rayleigh fading channel simulation.
gansei
- 最大似然（ML）准则和最大后验概率（MAP）准则，直线阵采用切比学夫加权控制主旁瓣比，三相光伏逆变并网的仿真。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Linear array using cut than learning laid upon the right control of the main sidelobe ra