write a computer program to implement the adaptive decision boundary algorithm with c=k=1assume two classes N training patterns from each class and M FEATUREs for each patternمعادله ال DECISION BOUNDARYهى D=W0+W1X1+W2X2Initialize the weights w0, … , wM to zero or to small random values or to some initial guesses. Choosing good initial guesses for the weights will speed convergence to a perfect solution if one exists.