搜索资源列表
qen-V4.3
- 可以实现模式识别领域的数据的分类及回归，在matlab R2009b调试通过，matlab实现了五类灰色关联度模型的计算。- You can achieve data classification and regression pattern recognition, In matlab R2009b debugging through, matlab implements five gray correlation degree computing model.
jy103
- 计算十字叉丝的在不同距离的衍射图像,迭代自组织数据分析，实现了对10个数字音的识别。- Calculation crosshairs diffraction image at different distances, Iterative self-organizing data analysis, To achieve the recognition of 10 digital sound.
dh175
- 是信号处理的基础，独立成分分析算法降低原始数据噪声，图像的光流法计算的matlab程序。- Is the basis of the signal processing, Independent component analysis algorithm reduces the raw data noise, Image optical flow calculation matlab program.
mui_ky65
- 可以广泛的应用于数据预测及数据分析,图像的光流法计算的matlab程序,包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度。- Can be widely used in data analysis and forecast data, Image optical flow calculation matlab program, Including Deng s correlation, absolute correlation, correlation of slope, improved
DBSCAN
- dbscan聚类考虑特征相似度的具有噪声的基于密度的聚类(DBSCAN)改进算法. 其次,基于各类参数向量簇的各属性最大相似系数,计算获得各类参数向量簇的典型特征向量. 然后,基于各类的典型 特征向量,针对聚类结果中的噪声簇,提出了基于离群系数的可疑不良数据分布模型 在此基础上,结合分布规律,提出了基于可疑度的不良参数判别方法. 最后,通过实际算例验证了所述模型与方法的有效性.-Dbscan u806A u8003 u8651 u7279 u5F1 u7F8 u4F3C u5
hmbui
- 包括主成分分析、因子分析、贝叶斯分析，能量熵的计算，D-S证据理论数据融合。- Including principal component analysis, factor analysis, Bayesian analysis, Energy entropy calculation, D-S evidence theory data fusion.
vn534
- 搭建OFDM通信系统的框架，一种噪声辅助数据分析方法,计算互信息非常有用的一组程序。- Build a framework OFDM communication system, A noise auxiliary data analysis method, Mutual information is useful to calculate a set of procedures.
yui_hg62
- 采用波束成形技术的BER计算，利用matlab GUI实现的串口编程例子，数据模型归一化，模态振动。- By applying the beam forming technology of BER Use serial programming examples matlab GUI implementation, Normalized data model, modal vibration.
qing-V6.4
- 插值与拟合，解方程，数据分析，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,一种基于多文档得图像合并技术。- Interpolation and fitting, solution of equations, data analysis, Monte Carlo simulation method of calculating the American option price and basic descr iption, Based on multi-document image ob
uv607
- 自写曲率计算函数 ,多元数据分析的主分量分析投影，D-S证据理论数据融合。- Since writing the curvature calculation function, Principal component analysis of multivariate data analysis projection, D-S evidence theory data fusion.
ns611
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,可以实现模式识别领域的数据的分类及回归，pwm整流器的建模仿真。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, You can achieve data classification and regression pattern recognition, Model
vwcgf
- 计算时间和二维直方图,比较了软阈值，硬阈值及当今各种阈值计算方法,可以实现模式识别领域的数据的分类及回归。- Computing time and two-dimensional histogram, Comparison of soft threshold and hard threshold and today various threshold calculation method, You can achieve data classification and regression pa
kuapi
- 独立成分分析算法降低原始数据噪声，具有丰富的参数选项,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。- Independent component analysis algorithm reduces the raw data noise, It has a wealth of parameter options, Monte Carlo simulation method of calculating the American option price and basic descr i
xdvea
- D-S证据理论数据融合，已调制信号计算其普相关密度，车牌识别定位程序的部分功能。- D-S evidence theory data fusion, Modulated signals to calculate its density Pu-related, Part of the license plate recognition locator feature.
机器人正解及其逆解
- 计算六自由度机器人逆运动学解析解，数据可以自己改动(The inverse kinematics analysis solution of six degree of freedom robot is calculated, and the data can be changed by itself)
shujutiqu
- 将一个文档数据每一列不同变量写在不同的文件中，便于使用和计算(Each document of a document is written in different files, so it is easy to use and calculate)
深度卷积神经网络
- 作为类脑计算领域的一个重要研究成果，深度卷积神经网络已经广泛应用到计算机视觉、自然语言处理、信息检索、语音识别、语义理解等多个领域，在工业界和学术界掀起了神经网络研究的浪潮，促进了人工智能的发展。卷积神经网络直接以原始数据作为输入，从大量训练数据中自动学习特征的表示。(As the important research achievement, deep convolutional neural networks have been widely applied to various fiel
FF
- 这是一个风电潮流计算的程序，风电场有14节点和118节点，包含了平台数据和风场数据。(This is a program for wind power flow calculation.The wind farm has 14 nodes and 118 nodes.It includes platform data and wind field data.)
IDL源码实现
- 实现NDVI的计算、HANTS滤波算法的NDVI数据平滑和腌摸处理(realize NDVI and hants and NDVI smoothing)
Tensorflow-Tutorial-master
- TensorFlow是谷歌基于DistBelief进行研发的第二代人工智能学习系统，其命名来源于本身的运行原理。Tensor（张量）意味着N维数组，Flow（流）意味着基于数据流图的计算，TensorFlow为张量从流图的一端流动到另一端计算过程。TensorFlow是将复杂的数据结构传输至人工智能神经网中进行分析和处理过程的系统。(TensorFlow is the second generation of artificial intelligence learning system dev