Effacer les filtres
Effacer les filtres

How to perform the Matlab for pattern recognition

1 vue (au cours des 30 derniers jours)
vokoyo
vokoyo le 28 Avr 2018
Modifié(e) : vokoyo le 28 Avr 2018
Let the bias be the probability of turning up a head and denoted by the parameter Q.
If we use a coin with the bias specified by Q to conduct a coin flipping process d times, the outcome will be a sequence of heads and tails.
where nH is the number of heads turned up during d trials.
Now using such a simulated coin with Q = ½ to conduct your experiments based on a sequence of outcomes generated by the random generator from computer.
For example, if the number generated by the random generator is less than 1/2, it assigned to be 0;
otherwise, it will be assigned 1.
In order to run the computer project, run the following
(1) d = 100 and n =100 using a simulated coin with Q = ¼ and ½
(2) d = 10 and n =1000 using a simulated coin with Q = ¼ and ½
(3) d = 100 and n = 1000 using a simulated coin with Q = ¼ and ½
(The result of the execution from program will be drawn into histogram on the PowerPoint)

Réponses (1)

vokoyo
vokoyo le 28 Avr 2018
Modifié(e) : vokoyo le 28 Avr 2018
Dear
I try to perform the Matlab programming with certain formula equations for the Pattern Recognition as below (herewith please refer to the PDF file)
However I am not sure my answers are correct or not
Kindly please provide your opinion and suggestion thus I will be able to improve my computing skills
Prayerfully
Matlab Programming Method
(1)
x = randn (100,1);
d = 100;
n = 100;
if(x<0.25),
toss = 0; %Head
else
toss = 1; %Tail
end
y = randn (100,1);
y(x<0.25) = 1;
hist(y)
x = randn (100,1);
d = 100;
n = 100;
if(x<0.5),
toss = 0; %Head
else
toss = 1; %Tail
end
y = randn (100,1);
y(x<0.5) = 1;
hist(y)

Catégories

En savoir plus sur Pattern Recognition and Classification dans Help Center et File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by