Values for the parameters in the presented ensemble learning model
| Parameter | Value |
|---|---|
| Total number of learner (M) | 20:20:20 |
| Structure of multiple learners | BRBNN: 10-3-3; ELM: 10-10-3 RT: min. leaf and parent are 1 and 10 |
| Structure of combination learners | Compare among 120-3-3 (default), 120-10-3 and 120-10-10-3 |
| Number of samples | Adapted increase from 50, 100, 200, 400 and 800 |
| Rate of training sample | 70% |
| Rate of testing sample | 15% |
| Rate of validation sample | 15% |
| Size of subsample for training in total training set | 60% |
| Number of particles in PSO | Compare among 10, 20, 30 and 40 |
| Parameter | Value |
|---|---|
| Total number of learner ( | 20:20:20 |
| Structure of multiple learners | BRBNN: 10-3-3; ELM: 10-10-3 |
| Structure of combination learners | Compare among 120-3-3 (default), |
| Number of samples | Adapted increase from 50, 100, 200, |
| Rate of training sample | 70% |
| Rate of testing sample | 15% |
| Rate of validation sample | 15% |
| Size of subsample for training in total training set | 60% |
| Number of particles in PSO | Compare among 10, 20, 30 and 40 |
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