2- Write a Matlab program code to Find all inputs (x) and weights of single neuron network using perceptron Learning rule. Solution by The change weights obtained matlab 10 12 -- 6 4 Δw3 = d = -1 Aw2 = 0 E- 4 -2 4 ,d = 1 The final weights is w4 = [Hint: Use the correction has been performed in each step for c = 1] 3 26 1 Δw1 -4 2 -- -6 8 = , d = -1

We have a single-input neuron with a bias. The output needs to be -1 for inputs less than 2 and +1 for inputs greater than or equal to 2. You need to determine: 1. an appropriate transfer function. 2. bias.   How to calculate this in MATLAB?

provide a MATLAB code only. Please solve both the parts a) and b). In part a) please show all the steps in detail. Provide screenshots of the code and graph wherever necessary.

1) design an artificial neural network with two inputs (X1 and X2). She won't have the bias. This network will have a hidden layer with two neurons (N1 and N2), plus an output layer, with one neuron (N3). The output of the network is called Y. Make the weights (W's) of each neuron explicit in the network, as well as the interconnections between all parts of the ANN.