搜索：random+algorithm
找到约 1,409 项符合「random+algorithm」的查询结果
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- matlab例程 (196)
- 技术资料 (189)
- 人工智能/神经网络 (133)
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https://www.eeworm.com/dl/663/197557.html
VHDL/FPGA/Verilog
基于Verilog-HDL的硬件电路的实现 9.3 脉冲计数与显示 9.3.1 脉冲计数器的工作原理 9.3.2 计数模块的设计与实现 9.3.3 parameter的使用
基于Verilog-HDL的硬件电路的实现
9.3 脉冲计数与显示
9.3.1 脉冲计数器的工作原理
9.3.2 计数模块的设计与实现
9.3.3 parameter的使用方法
9.3.4 repeat循环语句的使用方法
9.3.5 系统函数$random的使用方法
9.3.6 脉冲计数器的Verilog-HDL描述
9.3.7 特定脉冲序 ...
https://www.eeworm.com/dl/665/316409.html
matlab例程
Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course in numeri
Numerical Computing with MATLAB （by Cleve Moler) is a textbook for an introductory course
in numerical methods, Matlab, and technical computing. The emphasis is on in-
formed use of mathematical software. We want you learn enough about the mathe-
matical functions in Matlab that ...
https://www.eeworm.com/dl/650/343616.html
人工智能/神经网络
本人编写的incremental 随机神经元网络算法
本人编写的incremental 随机神经元网络算法，该算法最大的特点是可以保证approximation特性，而且速度快效果不错，可以作为学术上的比较和分析。目前只适合benchmark的regression问题。
具体效果可参考
G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using Incremental Constructiv ...
https://www.eeworm.com/dl/534/230046.html
其他
This the implementation of structural SVM for training complex alignment models for protein sequence
This the implementation of structural SVM for training complex alignment models for protein sequence alignment, especially for homology modeling. The structural SVM algorithm can incorporate many relevant features like secondary structure, relative exposed surface area, profiles ...
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/534/487877.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 ...