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Feb 9, 2022
LANDIS, DAJI, 2021, "Data for "NARX Neural Network Derivations of the Outer Boundary Radiation Belt Electron Flux"", https://doi.org/10.25346/S6/O1ZAZH, UCLA Dataverse, V6
Input data that is used for NARX Bf and NARX flux model creation, resulted neural networks and tests are included as MATLAB files. In addition, CRESS observations and results of the VERB code simulation using NARX Bf model are provided. MATLAB Deep Learning Toolbox is required to...
MATLAB Data - 9.7 MB - MD5: 25ec94806b92295749ea3ab07370a1c6
Processed data used in all aspects of NARX flux model creation (training, validation, tests). The flux values are in flux_cell as a MATLAB cell. The input data is in X_cell as a MATLAB cell. Time is in time as a MATLAB array. The network is a MATLAB object, netc_best. The input d...
MATLAB Data - 1.2 KB - MD5: a4737a560c8e6378683eb191d80f0657
Input delay (input_delay), feedback delay (feedback_delay) and hidden neurons (hidden_neurons) test results for NARX flux model are in corresponded MALTAB structures.
MATLAB Data - 588.5 KB - MD5: 7c794f1ac7eab733990b8847b48da26d
Processed data used in all aspects of NARX Bf model creation (training, validation, tests). The Bf values are in flux_cell as a MATLAB cell. The input data is in X_cell (Kp) as a MATLAB cell. Time is in time as a MATLAB array. The network is a MATLAB object, netc_best. log10 of B...
MATLAB Data - 973 B - MD5: d7459f413abf48b2b379ddceac3f1419
Input delay (input_delay), feedback delay (feedback_delay) and corresponded cc (cc) and standard deviation (cc_std) of NARX Bf model tests. The test results of hidden neurons is in hidden_neurons MALTAB structure.
MATLAB Data - 576.6 KB - MD5: 8a7195aafd2c4d261d1da2340800b16e
Comparison of the CRESS observations and VERB code simulations. bf and kp are MATLAB structures. time, L* and log10(flux) of CRESS observations (CRESS), VERB code simulations with constant upper boundary conditions (VERB_const) and VERB code simulations with NARX Bf driven bounda...
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