Research Article
Antenna Optimization Based on Auto-Context Broad Learning System
Algorithm 1
ACBLS – Auto-context of k iterations.
| | Input: Training samples X; Labels Y; | | | Output: Yk + 1 | | (1) | for; | | (2) | Combine the context as model u’s inputs , where Y0 is the null matrix. | | (2) | for; do | | (3) | Random , | | (4) | Calculate | | (5) | end | | (6) | Set the feature group | | (7) | for; do | | (8) | Random , | | (9) | Calculate | | (10) | end | | (11) | Set the enhancement group | | (12) | Set original hidden layer of model u | | (13) | Calculate the output weights of model u | | (14) | Calculate and save the outputs of model u | | (15) | end |
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