How can I have adaptive input for network training?

Each row of data is driven from previous rows. For example, consider row 101st driven from rows 1 to 100. Row 102nd driven from 1 to 101 and so on. Is there any way to train such a network? I would like to give like 300 rows of data and get prediction of 301st.