Abbreviation |
Meaning |
ADAM |
Adaptive moment estimation |
ANFIS |
Adaptive neuro-fuzzy inference system |
CNN |
Convolutional neural network |
GMDH |
Group method of data handling |
LSTM |
Long short-term memory |
MAE |
Mean absolute error |
RMSE |
Root mean square error |
RMSProp |
Root mean squared propagation |
SGD |
Stochastic gradient descent |
SGDM |
Stochastic gradient descent with momentum |
WPT |
Wavelet packet transform |
YOLO |
You Only Look Once |
Symbol |
Meaning |
b |
Polarization matrix |
f |
Forgetting gate |
g |
High-pass filter |
i |
Iteration |
h |
Low-pass filter |
m |
Elementary moving average |
n |
Number of samples |
o |
Output gate |
t |
Time step |
v |
Moving average of the squares of the elements |
x |
Original signal |
y |
Observed value |
|
Predicted output |
|
Average of the observed value |
A |
Scale parameter |
B |
Displacement parameter |
E |
Loss function |
G |
Input activation function |
H |
Output activation function |
P |
Steps forward |
R and W
|
Earning matrices |
R
|
Coefficient of determination |
|
Learning rate |
|
Decay rate |
|
Number of predictions |
|
Activation function |
|
Input gate |
|
Vector of parameters |
|
Period of the samples |
|
Mother wavelet |