搜索：Packet+Algorithm
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https://www.eeworm.com/dl/518/289146.html
数值算法/人工智能
KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-mean
KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means
algorithm to set the centres of a cluster model. The matrix DATA
represents the data which is being clustered, with each row
corresponding to a vector. The sum of squares error f ...
https://www.eeworm.com/dl/650/289334.html
人工智能/神经网络
Probability distribution functions. estimation - (dir) Probability distribution estimation. dsam
Probability distribution functions.
estimation - (dir) Probability distribution estimation.
dsamp - Generates samples from discrete distribution.
erfc2 - Normal cumulative distribution function.
gmmsamp - Generates sample from Gaussian mixture model.
gsamp - Generates sampl ...
https://www.eeworm.com/dl/534/399743.html
其他
AutoSitePasswords is a users admin tool for Apache web server. AutoSitePasswords keeps the users da
AutoSitePasswords is a users admin tool for Apache web server.
AutoSitePasswords keeps the users database and allows to append, edit,
delete and search the users records. AutoSitePasswords allows to generate
the random login/password serieses. AutoSitePasswords makes the Apache
p ...
https://www.eeworm.com/dl/534/487877.html
其他
sba, a C/C++ package for generic sparse bundle adjustment is almost invariably used as the last step
sba, a C/C++ package for generic sparse bundle adjustment is almost invariably used as the last step of every feature-based multiple view reconstruction vision algorithm to obtain optimal 3D structure and motion (i.e. camera matrix) parameter estimates. Provided with initial esti ...
https://www.eeworm.com/dl/534/480920.html
其他
Topics Practices: Programming and Numerical Methods Practice 1: Introduction to C Practice 2
Topics Practices:
Programming and Numerical Methods
Practice 1: Introduction to C
Practice 2: Cycles and functions
First part cycles
Part Two: Roles
Practice 3 - Floating point arithmetic
Practice 4 - Search for roots of functions
Practice 5 - Numerical Integration
Prac ...
https://www.eeworm.com/dl/534/248919.html
其他
The problem of image registration subsumes a number of problems and techniques in multiframe image
The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
alg ...
https://www.eeworm.com/dl/833419.html
技术资料
基于无迹卡尔曼滤波算法的锂电池SOC估计
应用无迹卡尔曼滤波算法（UKF）进行锂电池的SOC估计,采用Thevenin二阶RC等效电路模型,对HPPC电池脉冲充放电实验数据进行Matlab处理,得到较为准确的模型.通过在Matlab中编写算法程序,对不同工况的估计值与实际值进行误差估算及对比分析,通过此算法进行SOC估计,得到该算法可有效降低系统误差并纠正SOC的 ...
https://www.eeworm.com/dl/665/142729.html
matlab例程
ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to ali
ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that ...
https://www.eeworm.com/dl/650/139298.html
人工智能/神经网络
Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant
Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble.
Reference: Z.-H. Zhou and Y. Yu. Ensembling lo ...
https://www.eeworm.com/dl/654/244856.html
数据结构
This forced me to write about more interesting and comprehensive sorting methods, the result of whic
This forced me to write about more interesting and comprehensive sorting methods, the result of which is this one. Through this writing I have tried to give in-depth coverage of the entire sort algorithm I hope Peter wouldn t mind reading it. This article assumes that you really ...