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Auto-Machine-learning-Methods-Sys

Introduction to Methods of Applied Mathematics or Advanced Mathematical Methods for Scientists and

Introduction to Methods of Applied Mathematics or Advanced Mathematical Methods for Scientists and Engineers

標簽： Methods Introduction Mathematical Mathematics

上傳時間： 2013-12-25

上傳用戶：李彥東
Using Jacobi method and Gauss-Seidel iterative methods to solve the following system The require

Using Jacobi method and Gauss-Seidel iterative methods to solve the following system The required precision is   =0.00001, and the maximum iteration number N=25. Compare the number of iterations and the convergence of these two methods

標簽： Gauss-Seidel iterative following methods

上傳時間： 2016-02-06

上傳用戶：zmy123
We can see that using Gauss-Seidel iterative methods need only 13 timed to make   =

We can see that using Gauss-Seidel iterative methods need only 13 timed to make           But using Jacobi method after 25 times the    is bigger than that using Gauss-Seidel iterative methods

標簽： Gauss-Seidel iterative methods 61541

上傳時間： 2016-02-06

上傳用戶：sjyy1001
主要是KNN（the k-nearest neighbor　algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface

主要是KNN（the k-nearest neighbor　algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。 and a simple clustering algorithm.

標簽： quantization k-nearest algorithm decision

上傳時間： 2016-02-07

上傳用戶：zhyiroy
LabVIEW7實用教程 learning 全部資料完整版

LabVIEW7實用教程 learning 全部資料完整版

標簽： LabVIEW7 learning 實用教程

上傳時間： 2016-02-09

上傳用戶：gmh1314
Learning Multi-scale Block Local Binary Patterns for Face Recognition”

Learning Multi-scale Block Local Binary Patterns for Face Recognition”

標簽： Multi-scale Recognition Learning Patterns

上傳時間： 2016-02-11

上傳用戶：cursor
Reinforcement Learning

Reinforcement Learning

標簽： Reinforcement Learning

上傳時間： 2016-02-13

上傳用戶：WMC_geophy
Numerical quadrature using open methods.

Numerical quadrature using open methods.

標簽： quadrature Numerical methods using

上傳時間： 2013-12-21

上傳用戶：1109003457
Using 3 methods to integrate the function f(x) = 1/(1+x*x)

Using 3 methods to integrate the function f(x) = 1/(1+x*x)

標簽： integrate function methods Using

上傳時間： 2014-01-06

上傳用戶：yyyyyyyyyy
SpikeLM: A Second-Order Supervised Learning Algorithm for Training Spiking Neural Networks Introduc

SpikeLM: A Second-Order Supervised Learning Algorithm for Training Spiking Neural Networks Introduction Preliminaries SpikeLM algorithm Experimental validation Conclusions

標簽： Second-Order Supervised Algorithm Learning

上傳時間： 2014-01-13

上傳用戶：zhuimenghuadie

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