Table 16 LSTM and GRU model performance in Q4.

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

Model

Architecture (hidden layers × units)

Epochs

Validation loss

LSTM

3 × 64

200

0.0148

GRU

4 × 64

250

0.0304

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