8. Consider a classification problem defined with the set of 3-D samples X, where two dimensions are inputs and the third one is the output.

X:	I1	I2	O
	-1	1	1
	0	0	1
	1	-1	1
	1	0	0
	0	1	0

a.) Draw a graph of the data points X labeled according to their classes. Is the problem of classification solvable with a single-neuron perceptron? Explain the answer.

b.) Draw a diagram of the perceptron you would use to solve the problem. Define the initial values for all network parameters.

c.) Apply single iteration of the delta-learning algorithm (Widrow-Hoff). What is the final vector of weight factors?