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Adaptive GA-BPNN experimental data
- Citation Author(s):
- Submitted by:
- Zhi-Yong Wang
- Last updated:
- Fri, 08/18/2023 - 04:55
- DOI:
- 10.21227/s4s1-qk69
- Data Format:
- License:
- Categories:
- Keywords:
Abstract
In data file (.rar) contains 16 files in .mat format, where origin data after UMAP for training.mat is the original training data and the others are the experimental result data. data1_*.mat is the model test result file containing the simulation results (test_simu_*), model output (output_test_*), and error (error_*).
In order to solve the optimal wind speed, so as to provide a reference for the ventilation control of vegetable greenhouse, we use the cyclic calculation method, in the range of values of each variable, on all possible combinations of inputs to the trained model, to get the optimal value.
data1_*_test_result.mat contains actual_result_* and test_result_*, where * denotes BP (back propagation neural network), GA_BP (genetic algorithm optimized back propagation neural network), GA_BPDS (GA-BPNN with logarithmic fitness scaling), GA_BPML (GA-BPNN with power-law fitness scaling), GA_BPxx (GA-BPNN with linear fitness scaling).
Analysis tools:
Matlab
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data set