Table 19 DFNN model performance in full workspace without k-fold.

From: Path-based evaluation of deep learning models for solving inverse kinematics in a revolute-prismatic robot

Hidden layers

Batch size

Epoch

Validation loss

4 × 128

+ 1 × 256

32

750

0.4263

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