[LO 5 & LO 6] Train by hand a single neuron using perceptron learning rules on the training set given below. Assume that all initial weights including the bias of the neuron are zeros (0). Show the set of weights including the bias at the end of each iteration. Use learning rate =1 and %3D the threshold function_h»(X) : threshold(net) = 1 if net >= 0; O otherwise (pls check it out, textbook AIMA 3rd threshold(net) Edition pp. 723-724). Apply the examples in the given order and stop the iteration by the time when you find the patterns are all correctly classified. Is the training set linearly separable, give your comment on Expl. No it. Input 100 011 110 Output 1 1 4 111 001 6. 101 1 Learning Outcomes: LO 5: Apply various techniques to an agent when acting under certainty LO 6 : Apply various AI algorithms to solve the problems

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Use of XOR function

XOR function or exclusive OR function was introduced in Excel 2013. This function is available under excel logical functions. For the given statement, the XOR function will return true only when either of the statements is true. It returns false when both the statements are true or when both the statements are false.