Which of the following factors constitutes a difference between Extreme Learning Machines and Feedforward Neural Networks:

a$)$the nature of activation functions b$)$ the need for normalization of inputs c$)$ the necessity of incorporating bias

d$)$

the difference between desired outputs and predicted outputs serving as the driver for the solution process.