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. 2022 May 15;22(10):3765. doi: 10.3390/s22103765

Table 2.

Accuracy of the MLP and RBF neural network for variant I (open kinetic chain), II (closed kinetic chain), and III (open and closed kinetic chain).

Variant Network Name Accuracy
of Learning (%)
Accuracy
of Testing (%)
Accuracy
of Validation (%)
Learning
Algorithm
Error Function Activation (Hidden) Activation
(Output)
I MLP 9-40-2 89.71 100.00 85.71 BFGS 25 SOS Linear Exponential
RBF 9-35-2 98.53 85.71 100.00 RBFT Entropy Gauss Softmax
II MLP 10-16-2 98.53 100.00 100.00 BFGS 17 Entropy Logistic Softmax
RBF 10-40-2 97.06 92.86 100.00 RBFT Entropy Gauss Softmax
III MLP 8-3-2 97.79 100.00 96.43 BFGS 103 Entropy Tanh Softmax
RBF 8-14-2 91.91 96.43 96.43 RBFT Entropy Gauss Softmax