|
|
the output value |
SSA |
Sparrow Search Algorithm |
|
|
the bias |
ISSA |
Improved Sparrow Search Algorithm |
|
d
|
the distance |
DGA |
Dissolved Gas Analysis |
|
down(.) |
the pooling function |
ELM |
Extreme Learning Machines |
|
fi
|
the fitness value |
ANN |
Artificial Neural Networks |
|
K
|
the step size coefficient |
SVM |
Support Vector Machines |
|
M
|
the window length |
ES |
Expert Systems |
|
Mjl
|
the selected set of input feature maps |
ApEn |
Approximate Entropy |
|
N
|
size of the input data |
MApEn |
Multi-scale Approximate Entropy |
|
R
|
the threshold |
PSO |
Particle Swarm Optimization |
|
|
the iterations |
GWO |
Grey Wolf Optimizer |
|
Τ
|
the time scale |
GSA |
Gravitational Search Algorithm |
|
|
he original signal |
AVOA |
African Vultures Optimization Algorithm |
|
|
the Gaussian best solution |
ReLU |
Rectified Linear Unit |
|
X
|
the original data matrix |
NT |
Normal type |
|
x(i) |
vectors with a dimension of m |
HD |
High-energy discharge |
|
|
the coarse-grained process |
LD |
Low-energy discharge |
|
|
chaotic sequences |
HO |
High-temperature overheating |
|
β
j
l
|
the multiplicative residua |
ITO |
Intermediate-temperature overheating |
|
β
|
step size control parameter |
ILO |
Intermediate to low-temperature overheating |
|
|
non-linearly decreasing weight |
PD |
Partial discharge |
| BPNN |
Backpropagation Neural Network |
|
|