Implementation of AND/OR/NOT Gate using Single Layer Perceptron

Post Test

1. Which of the following can be the correct combination of weights & threshold for the neural network to function as an OR Gate?


2. The experiment performed can be considered as an example of which of the following type of learning?


3.Given the weights W1 = 0.4 & W2 = 0.3, what should be the threshold value for the neural network to function as AND Gate?


4. Which of the following Gates cannot be implemented using single layer perceptron model?




Hints :-

1. And Gate :- Try using 1.5 as threshold and 1 as weights
2. Or Gate :- Try using 0.5 as threshold and 1 as weights
3. Not Gate :- Try using -0.5 as threshold and -1 as weight