Table 4 LSTM and GRU model performance in Q1.

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

1000

0.0866

GRU

4 × 64

250

0.00415

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