Table/Structure Field list used by SAP ABAP Class CL_NN_EXPERIMENTAL_BRF (Neural Network - Experimental)
SAP ABAP Class
CL_NN_EXPERIMENTAL_BRF (Neural Network - Experimental) is using
# | Object Type | Object Name | Object Description | Note |
---|---|---|---|---|
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1 | ![]() |
BRF_NN_OUT_DATA - VALUE | Field of type FLTP | |
2 | ![]() |
BRF_NN_OUT_DATA - NN_I | NN - Number of Current Neuron | |
3 | ![]() |
SBRF122A - NN_ACTIVITY | SBRF122A-NN_ACTIVITY | |
4 | ![]() |
SBRF122A - NN_ACT_FUNC | NN - Activation Function | |
5 | ![]() |
SBRF122A - NN_AF_C0 | NN - Activation Function - Inactivity Value | |
6 | ![]() |
SBRF122A - NN_AF_DECAY | NN - Activation Function - Decay | |
7 | ![]() |
SBRF122A - NN_AF_SF | NN - Activation Function - Scaling | |
8 | ![]() |
SBRF122A - NN_I | NN - Number of Current Neuron | |
9 | ![]() |
SBRF122A - NN_OF_MAX | NN - Output Function - Maximum | |
10 | ![]() |
SBRF122A - NN_OF_MIN | NN - Output Function - Minimum | |
11 | ![]() |
SBRF122A - NN_OF_SLOPE | NN - Output Function - Slope | |
12 | ![]() |
SBRF122A - NN_OF_THR | NN - Output Function - Threshold | |
13 | ![]() |
SBRF122A - NN_OUTPUT | SBRF122A-NN_OUTPUT | |
14 | ![]() |
SBRF122A - NN_OUT_FUNC | NN - Out Function | |
15 | ![]() |
SBRF200A - OBJECT | Deputy for BRF Objects (Like Events) | |
16 | ![]() |
SBRF200A - RESULT_VALUE | Result | |
17 | ![]() |
SBRF200A - RESULT_TYPE | BRF: Result Type | |
18 | ![]() |
TBRF121 - APPLCLASS | BRF: Application Class | |
19 | ![]() |
TBRF121 - EXPRESSION | BRF: Expression | |
20 | ![]() |
TBRF121 - IMPORT_STATUS | BRF: Import Status | |
21 | ![]() |
TBRF121 - VERSION | Expression Version | |
22 | ![]() |
TBRF122 - VERSION | Expression Version | |
23 | ![]() |
TBRF122 - NN_OUT_FUNC | NN - Out Function | |
24 | ![]() |
TBRF122 - IMPORT_STATUS | BRF: Import Status | |
25 | ![]() |
TBRF122 - NN_OF_THR | NN - Output Function - Threshold | |
26 | ![]() |
TBRF122 - NN_OF_SLOPE | NN - Output Function - Slope | |
27 | ![]() |
TBRF122 - NN_OF_MIN | NN - Output Function - Minimum | |
28 | ![]() |
TBRF122 - NN_OF_MAX | NN - Output Function - Maximum | |
29 | ![]() |
TBRF122 - NN_AF_SF | NN - Activation Function - Scaling | |
30 | ![]() |
TBRF122 - NN_AF_DECAY | NN - Activation Function - Decay | |
31 | ![]() |
TBRF122 - NN_AF_C0 | NN - Activation Function - Inactivity Value | |
32 | ![]() |
TBRF122 - NN_ACT_FUNC | NN - Activation Function | |
33 | ![]() |
TBRF122 - EXPRESSION | BRF: Expression | |
34 | ![]() |
TBRF122 - APPLCLASS | BRF: Application Class | |
35 | ![]() |
TBRF122 - NN_I | NN - Number of Current Neuron | |
36 | ![]() |
TBRF123 - IMPORT_STATUS | BRF: Import Status | |
37 | ![]() |
TBRF123 - VERSION | Expression Version | |
38 | ![]() |
TBRF123 - NN_WEIGHT | NN - Weighting of Input (Neuron) | |
39 | ![]() |
TBRF123 - NN_INPUT_REF | NN - Input Node | |
40 | ![]() |
TBRF123 - NN_I | NN - Number of Current Neuron | |
41 | ![]() |
TBRF123 - EXPRESSION | BRF: Expression | |
42 | ![]() |
TBRF123 - APPLCLASS | BRF: Application Class | |
43 | ![]() |
TBRF150 - APPLCLASS | BRF: Application Class | |
44 | ![]() |
TBRF150 - APPLCLASS | BRF: Application Class | |
45 | ![]() |
TBRF150 - EXPRESSION | BRF: Expression | |
46 | ![]() |
TBRF200 - OBJECT | Deputy for BRF Objects (Like Events) |