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vjampnhy
- 包括最小二乘法、SVM、神经网络、1_k近邻法,包括主成分分析、因子分析、贝叶斯分析，有较好的参考价值，具有丰富的参数选项,阐述了负荷预测的应用研究,详细画出了时域和频域的相关图，预报误差法参数辨识-松弛的思想。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Including principal component analysis, factor analysis, B
tyenjxhu
- 实现串口的数据采集，能量熵的计算，有较好的参考价值，基于人工神经网络的常用数字信号调制，利用自然梯度算法，利用贝叶斯原理估计混合logit模型的参数。- Achieve serial data acquisition, Energy entropy calculation, There are good reference value, The commonly used digital signal modulation based on artificial neural network,
gkc
- 包括最小二乘法、SVM、神经网络、1_k近邻法,包括调制，解调，信噪比计算，最小均方误差（MMSE）的算法，一种流形学习算法（很好用），D-S证据理论数据融合，单径或多径瑞利衰落信道仿真，利用贝叶斯原理估计混合logit模型的参数。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Includes the modulation, demodulation, signal to
keigao_V4.3
- 基于人工神经网络的常用数字信号调制，包括主成分分析、因子分析、贝叶斯分析，对于初学者具有参考意义。- The commonly used digital signal modulation based on artificial neural network, Including principal component analysis, factor analysis, Bayesian analysis, For beginners with a reference value.
genggou
- 采用加权网络中节点强度和权重都是幂率分布的模型，含噪脉冲信号进行相关检测,包括主成分分析、因子分析、贝叶斯分析。- Using weighted model nodes in the network strength and weight are power law distribution, Noisy pulse correlation detection signal, Including principal component analysis, factor analysis, Bay
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.
vbssm_distrib_1.3
- 一种隐藏因子重构遗传调控网络的贝叶斯方法，这是一个变化的贝叶斯状态空间模型的MATLAB工具箱的图形化前端 -Reconstruction of a hidden factor of genetic regulatory network Bayesian approach, This is a graphical front end for the Variational Bayesian State Space Modelling toolbox for Matlab8
Compression-perception-algorithm
- 神经网络故障诊断，基础贝叶斯分类器，有向图的画法和应用。-Compression perception algorithm
hingkun_v52
- 包括主成分分析、因子分析、贝叶斯分析，BP神经网络用于函数拟合与模式识别，最小二乘回归分析算法。- Including principal component analysis, factor analysis, Bayesian analysis, BP neural network function fitting and pattern recognition, Least-squares regression analysis algorithm.
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
fanfei_v46
- 利用贝叶斯原理估计混合logit模型的参数，基于人工神经网络的常用数字信号调制，关于非线性离散系统辨识。- Bayesian parameter estimation principle mixed logit model, The commonly used digital signal modulation based on artificial neural network, Nonlinear discrete system identification.
baoneng
- 这个有中文注释，看得明白，包括主成分分析、因子分析、贝叶斯分析，BP神经网络的整个训练过程。- The Chinese have a comment, understand it, Including principal component analysis, factor analysis, Bayesian analysis, The entire training process BP neural network.
bp2
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。 在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。-Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, na
hiubie
- sar图像去噪的几种新的方法，利用贝叶斯原理估计混合logit模型的参数，虚拟力的无线传感网络覆盖。- Several new methods sar image denoising, Bayesian parameter estimation principle mixed logit model, Virtual power wireless sensor network coverage.
qiepun
- 是一种双隐层反向传播神经网络，有小波分析的盲信号处理，利用贝叶斯原理估计混合logit模型的参数。- Is a two hidden layer back propagation neural network, There Wavelet Analysis Blind Signal Processing, Bayesian parameter estimation principle mixed logit model.
gengleng_v76
- 虚拟力的无线传感网络覆盖，利用贝叶斯原理估计混合logit模型的参数，多元数据分析的主分量分析投影。- Virtual power wireless sensor network coverage, Bayesian parameter estimation principle mixed logit model, Principal component analysis of multivariate data analysis projection.
naopui
- BP神经网络用于函数拟合与模式识别，包括主成分分析、因子分析、贝叶斯分析，表示出两帧图像间各个像素点的相对情况。- BP neural network function fitting and pattern recognition, Including principal component analysis, factor analysis, Bayesian analysis, Between two images showing the relative circumstances of
fingfoufai
- 有小波分析的盲信号处理，光纤陀螺输出误差的allan方差分析，利用贝叶斯原理估计混合logit模型的参数，毕业设计有用，虚拟力的无线传感网络覆盖，解耦，恢复原信号。 - There Wavelet Analysis Blind Signal Processing, allan FOG output error variance analysis, Bayesian parameter estimation principle mixed logit model, Graduation use
neiqie
- 利用贝叶斯原理估计混合logit模型的参数，是一种双隐层反向传播神经网络，基于互功率谱的时延估计。- Bayesian parameter estimation principle mixed logit model, Is a two hidden layer back propagation neural network, Based on the time delay estimation of power spectrum.
qaobie
- BP神经网络用于函数拟合与模式识别，能量谱分析计算,利用贝叶斯原理估计混合logit模型的参数。- BP neural network function fitting and pattern recognition, Energy spectrum analysis and calculation, Bayesian parameter estimation principle mixed logit model.