The main aim of running the parameters in the linear perceptron algorithm is to be able to develop a machine learning algorithm for binary classification tasks.
<h3>What is a linear perceptron algorithm?</h3>
This refers to the linear classification algorithm that is used in machine learning.
This is done in order to learn a decision boundary that divides different classes using a hyperplane.
Hence, we can see that your question is incomplete because the parameters are not included, hence a general overview was given to give you a better understanding of the concept.
Read more about machine learning here:
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Answer:
#include<iostream>
using namespace std;
int main()
{
int a,b,c;
cout<<"enter the value of a:";
cin>>a;
cout<<"enter the value of b:";
cin>>b;
cout<<"enter the value of c:";
cin>>c;
cout<<"product is:"<<(a*b*c);
return 0;
}
Explanation:
Your answer is <span>A.conglomerate.
Hope this helps :)</span>
