Solve the parity-4 problem using minimum number of neurons of the two layers feedforward neural network. Use bipolar activation function. Parity problem means that output must be +1 if there is odd number of+1s on inputs and output should be -1 when there is even number of+1s on inputs. In the case of parity-4 you have four inputs, one output and 16 possible input patterns. [0 0 0 0]->-I [0 0 0 1]-> +1 [0 0 10] [00 1- [0100] ==> +1 [0 1 0 1]->-1 [0 1 1 0] ==>-l [0 1 1 1] ==> +1 [1000]-> +1 [1001]->-1 [1010] ==>-1 [1011]-> +1 [I 100] ==>-l [1101]-> +1