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) Our aim is to distinguish whether the engineering faculty student is from CE department or from EE department according to their maturity, social activity

) Our aim is to distinguish whether the engineering faculty student is from CE department or from EE department according to their maturity, social activity performance, relation with their friends, and relation with their teachers. To achieve this goal, we used the set of data as given below for training. name of a student dept. maturity social activity rel. with performance friends rel. with teachers Kemal Taner Osman Ahmet Mehmet Dilara CE CE EE EE EE 3 3 4 4 5 5 4 4 3 3 2 3 5 4 4 4 5 4 4 4 5 3 4 3 Assuming that n=0.1 , the desired value for CE students is 1 and the desired value for EE students is -1, a) obtain the synaptic weights of a neuron using perceptron algorithm. b) Check how many of the training elements are classified correctly. Hint: If you cannot reach to the local or global solution till the end of second epoch, stop the training algorithm in part a).

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