Imran Babar
Universiti Teknologi Malaysia
Followers: 0 Following: 0
Doctoral Candidate at Department of Software Engineering Universiti Teknologi Malaysia Johor Skudai Malaysia. Professional Interests: Artificial Intelligence, Matlab, ASP.Net, C#, AJAX
Statistiques
RANG
120 731
of 292 722
RÉPUTATION
0
CONTRIBUTIONS
4 Questions
3 Réponses
ACCEPTATION DE VOS RÉPONSES
0.0%
VOTES REÇUS
0
RANG
of 19 934
RÉPUTATION
N/A
CLASSEMENT MOYEN
0.00
CONTRIBUTIONS
0 Fichier
TÉLÉCHARGEMENTS
0
ALL TIME TÉLÉCHARGEMENTS
0
RANG
of 147 887
CONTRIBUTIONS
0 Problèmes
0 Solutions
SCORE
0
NOMBRE DE BADGES
0
CONTRIBUTIONS
0 Publications
CONTRIBUTIONS
0 Public Chaîne
CLASSEMENT MOYEN
CONTRIBUTIONS
0 Point fort
NOMBRE MOYEN DE LIKES
Feeds
Question
Popup Menu problem in accessing the string
I am using a popup menu that is populated with numbers 0-3 but when I access the numbers it returns the value instead of the str...
environ 11 ans il y a | 1 réponse | 0
1
réponseQuestion
BP Algorithm Efficiency problem
I have written a BP algorithm for Training, Validation and Testing data at the same time but it is very slow and not efficient. ...
environ 11 ans il y a | 1 réponse | 0
0
réponseQuestion
Question about Training, Validation and Testing Data
Hi good day to all. My question is I have written a matlab code for BP MLP. I want to use this code for Training, Validation and...
environ 11 ans il y a | 1 réponse | 0
0
réponseQuestion
Issue of Regression when in training set there are multiple inputs and in target data only one ouput
Hi I have a data of 649 patterns and with 31 inputs in 1 pattern and with 1 output only how I will draw the regression plot. Tho...
environ 11 ans il y a | 1 réponse | 0
0
réponseIs it Possible to extract Regression equation of the Regression Plots in Neural Network Toolbar
Hi I have a data of 649 patterns and with 31 inputs in 1 pattern and with 1 output only how I will draw the regression plot. Tho...
environ 11 ans il y a | 0
Normalizing data for neural networks
mu_input=mean(trainingInput); std_input=std(trainingInput); trainingInput=(trainingInput(:,:)-mu_input(:,1))/std_input(:,1); ...
environ 11 ans il y a | 0
Back propagation algorithm of Neural Network : XOR training
Dear sir I want to use the same code for the following data set Input dataset=[1 1 1 2;1 1 2 2;1 2 2 2; 2 2 2 2] Output=[5 6...
environ 11 ans il y a | 0