![photo](/responsive_image/150/150/0/0/0/cache/matlabcentral/profiles/6489282_1522115054166_DEF.jpg)
muqdad aljuboori
Followers: 0 Following: 0
Statistics
RANK
155 316
of 293 482
REPUTATION
0
CONTRIBUTIONS
2 Questions
3 Answers
ANSWER ACCEPTANCE
50.0%
VOTES RECEIVED
0
RANK
of 20 033
REPUTATION
N/A
AVERAGE RATING
0.00
CONTRIBUTIONS
0 Files
DOWNLOADS
0
ALL TIME DOWNLOADS
0
RANK
of 148 733
CONTRIBUTIONS
0 Problems
0 Solutions
SCORE
0
NUMBER OF BADGES
0
CONTRIBUTIONS
0 Posts
CONTRIBUTIONS
0 Public Channels
AVERAGE RATING
CONTRIBUTIONS
0 Highlights
AVERAGE NO. OF LIKES
Feeds
How to standardize unstandardized beta coefficients
% create IVs x1 and x2 and DV y as unstandardized variables x1=rand(100,1)*30; x2=rand(100,1)*100; x3=rand(100,1)*521; ...
ungefär 6 år ago | 0
How to standardize unstandardized beta coefficients
% create IVs x1 and x2 and DV y as unstandardized variables x1=rand(100,1)*30; x2=rand(100,1)*2; y=rand(100,1)*10; ...
ungefär 6 år ago | 0
Question
condition in the optimization constants
Hi every one, I working on formulation constraint optimization model, in this problem, i need to put a condition for the m-fi...
mer än 6 år ago | 1 answer | 0
1
answerSVM classification with different kernels
Hi I very interested in this discussion I tried to apply the new funcion in my project but it doesnt work that what i did ...
mer än 7 år ago | 0
Question
HI EVERY ONE how can i develop a general equation for the training neural net work results as shown below and how can i make these equations linear or non linear
% ===== NEURAL NETWORK CONSTANTS ===== % Input 1 x1_step1_xoffset = [0.335;0.335;0.501;0.102]; x1_step1_gain =...
ungefär 9 år ago | 1 answer | 0