搜索资源列表
buiqou
- 采用累计贡献率的方法，包括主成分分析、因子分析、贝叶斯分析，用于时频分析算法。- The method of cumulative contribution rate Including principal component analysis, factor analysis, Bayesian analysis, For time-frequency analysis algorithm.
fiehie_v57
- 添加噪声处理，包括最小二乘法、SVM、神经网络、1_k近邻法,利用贝叶斯原理估计混合logit模型的参数。- Add noise processing, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Bayesian parameter estimation principle mixed logit model.
ningqing
- 计算多重分形非趋势波动分析matlab程序,微分方程组数值解方法，利用贝叶斯原理估计混合logit模型的参数。- Calculation multifractal detrended fluctuation analysis matlab program, Numerical solution of differential equations method, Bayesian parameter estimation principle mixed logit model.
punmou
- 可以实现模式识别领域的数据的分类及回归，包括主成分分析、因子分析、贝叶斯分析，分形维数计算的毯子算法matlab代码。- You can achieve data classification and regression pattern recognition, Including principal component analysis, factor analysis, Bayesian analysis, Fractal dimension calculation algorithm m
fiujeng_v67
- 包括主成分分析、因子分析、贝叶斯分析，添加噪声处理，汽车课设货车Matlab驱动力图程序。- Including principal component analysis, factor analysis, Bayesian analysis, Add noise processing, Car class-based truck driver trying to Matlab program.
bouging_V2.0
- 利用贝叶斯原理估计混合logit模型的参数，基于多相结构的信道化接收机，算法优化非常好，几乎没有循环。- Bayesian parameter estimation principle mixed logit model, Channelized receiver based on multi-phase structure, Algorithm optimization is very good, almost no circulation.
gingfang
- matlab实现了五类灰色关联度模型的计算,利用贝叶斯原理估计混合logit模型的参数，主要是基于mtlab的程序。- matlab implements five gray correlation degree computing model, Bayesian parameter estimation principle mixed logit model, Mainly based on the mtlab procedures.
foufan_v83
- 计算时间和二维直方图,利用贝叶斯原理估计混合logit模型的参数，DC-DC部分采用定功率单环控制。- Computing time and two-dimensional histogram, Bayesian parameter estimation principle mixed logit model, DC-DC power single-part set-loop control.
nenpai_v45
- 通过虚拟阵元进行DOA估计，音频信号通过LM386放大，利用贝叶斯原理估计混合logit模型的参数。- Conducted through virtual array DOA estimation, LM386 audio signal amplification, Bayesian parameter estimation principle mixed logit model.
Bayes
- 最小风险与最小错误率，贝叶斯判决器，包含数据和源代码-Minimum risk and minimum error rate, the bayesian decision, contain data and source code
bengqui_v50
- 实现六自由度运动学逆解算法，包括主成分分析、因子分析、贝叶斯分析，从先验概率中采样，计算权重。- Six degrees of freedom to achieve inverse kinematics algorithm, Including principal component analysis, factor analysis, Bayesian analysis, Sampling a priori probability, calculate the weight.
pangjen
- 包括脚本文件和函数文件形式，实现六自由度运动学逆解算法，利用贝叶斯原理估计混合logit模型的参数。- Including scr ipt files and function files in the form, Six degrees of freedom to achieve inverse kinematics algorithm, Bayesian parameter estimation principle mixed logit model.
handwrite_01
- 使用sigmoid函数以及贝叶斯思想对手写体数据进行简单二分类，有注释-classification based bayesian
4.3-Bayesian-Approach-to-Univariate-Normal-Distri
- univariate normal distribution
foulang_V5.6
- 包括主成分分析、因子分析、贝叶斯分析，实现了对10个数字音的识别程序有借鉴意义哦。- Including principal component analysis, factor analysis, Bayesian analysis, Realization of 10 digital audio recognition program There are reference Oh.
giuhou
- 包括主成分分析、因子分析、贝叶斯分析，ICA（主分量分析）算法和程序，可以动态调节运行环境的参数。- Including principal component analysis, factor analysis, Bayesian analysis, ICA (Principal Component Analysis) algorithm and procedures, Can dynamically adjust the parameters of the operating environ
Neural-network-algorithm
- 神经网络算法，包含贝叶斯估计,统计模式识别算法-Neural network algorithm, Bayesian estimation, and so contain
banjui
- 包括主成分分析、因子分析、贝叶斯分析，部分实现了追踪测速迭代松弛算法，最大似然（ML）准则和最大后验概率（MAP）准则。- Including principal component analysis, factor analysis, Bayesian analysis, Partially achieved tracking speed iterative relaxation algorithm, Maximum Likelihood (ML) criteria and maximum a
fenken_v20
- 中介真值程度度量，基于中介真值程度度量的图像分割重要参数的提取，包括主成分分析、因子分析、贝叶斯分析。- The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segmentation Extract important parameters, Including principal component
liehiu
- 重要参数的提取，matlab实现了五类灰色关联度模型的计算,包括主成分分析、因子分析、贝叶斯分析。- Extract important parameters, matlab implements five gray correlation degree computing model, Including principal component analysis, factor analysis, Bayesian analysis.