السلام عليكم ورحمة الله وبركاته :
الى اعضاء المنتدى الاعزاء … ارجو مساعدتي عندي مشروع بالماتلاب وتسليمه الاسبوع الجاي … الله يخليكم ساعدوني ضروري عليه درجات كبيره
Use the GenNormalSample function to generate N samples from 4 classes and save them into data file (samples.dat )
Project1:
1- wtite matlab function with graphical user interface (GUI) that reads the sample data from the ’ sample.dat ’ file and classifies new data according to Bayesian decision theory. The function should allow the user to choose one of the following classification procedures :
a- parametric method :
i . known distribution : the user could enter the parameter values .
ii . known distribution , unknown parameters : [ Here the user can choose either the MLE method or the Bayesian learning method for parameter estimation ]
b- Nonparametric method :
i . Here the user can choose either the Parzen-window method or the Kn-nearst neighbor for density estimation .
project 2:
2- wtite matlab function with graphical user interface (GUI) that reads the sample data from the ’ sample.dat ’ file and classifies new data using the PNN algorithm .
[ use the ‘Building GUI with matlab’ help files to build your program interface ]
Matlab function used to deal with data files ( use :>>helpwin functionName to get help ):
fopen : function used to open file for read , write , or append data .
fclose : function used to close opened file .
fwrite : function used to write binary data to file .
fread : function used to read binary from file .
fprintf : function used to write formatted data to file .
fscanf : function used to read formatted data to file .