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Table 6 A summary table of abbreviations used in this paper

From: Deep learning in finance and banking: A literature review and classification

ACC

Actual correlation coefficient

MAPE

Mean absolute percent error

ANN

Artificial neural network

MCC

Matthews correlation coefficient

ARMA

Auto-regressive-moving-average

ML

Machine learning

CNN

Convolutional neural networks

MLP

Multi-layer perceptron

DBN

Deep belief networks

MSE

Mean squared error

DL

Deep learning

NMSE

Normalized mean square error

DNN

Deep neural network

NN

Neural network

DPA

Directional predictive accuracy

PCA

Principal component analysis

EMH

Efficient market hypothesis

RBM

Restricted Boltzmann machine

FNN

Feedforward neural network

RL

Reinforcement learning

GA

Genetic algorithm

RMSE

Root mean squared error

GAN

generative adversarial network

RNN

Recurrent neural network

GARCH

Generalized autoregressive conditional heteroscedasticity

RNN(O)

Other recurrent neural networks except for LSTM

kNN

k-nearest neighbors

SAEs

Stacked autoencoders

LSTM

Long short-term memory

SVM

Support vector machine

MA

Moving average

VAR

Vector autoregression

MAE

Mean absolute error

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