A PLS-Based Weighted Artificial Neural Network Approach for Alpha Radioactivity Prediction inside Contaminated Pipes

Table 1

A list of required model parameters.

Name of variables	Value
Training sample 𝜑11	150
Validation sample 𝜑12	30
Testing sample 𝜑13	20
Number of input nodes	6
Number of hidden nodes	6
Number of output nodes	1
Error 𝜀11 of sample 𝜑11	0.01
Error 𝜀12 of sample 𝜑12	0.05
Error 𝜀13 of sample 𝜑13	0.05
Learning	0.05
Training epochs	1000
Training goal	10^−4