Must target be only one bit one such as 0001,0010,0100,1000 In supervised neural learning f(w*p+b) with perceptron rule w = w + e for linear case?

[Ho Yeung Lee]

Must target be only one bit one such as 0001,0010,0100,1000 In supervised neural learning f(w*p+b) with perceptron rule w = w + e for linear case?

with neural network design

does it means that can not use two or more one as target such as 0011,0110,1100,1010, 0111,1110,1101, etc when training weight?