Research Article

Real-Time Evaluation of Compaction Quality by Using Artificial Neural Networks

Table 4

Target class and compaction level.

Level no.Degree of compaction (%)Target array

Target class 11<94(1, 0, 0, 0)
Target class 2294∼96(0, 1, 0, 0)
Target class 3396∼98(0, 0, 1, 0)
Target class 44>98(0, 0, 0, 1)