Table 2 Algorithms grouping
Neural networks | No. of papers | Implementations (%) | Traditional classification | No. of papers | Implementations (%) |
|---|---|---|---|---|---|
Convolutional neural networks (CNN) | 23 | 25 | Support vector machine (SVM) | 37 | 40.2 |
Deep autoencoder (DAE) | 16 | 17.4 | k-nearest neighbors (KNN) | 42 | 45.7 |
Deep belief network (DBN) | 12 | 13.1 | Logistic regression | 13 | 14.1 |
Generative adversarial networks (GAN) | 3 | 3.3 | |||
Recurrent neural network (RNN) | 16 | 17.4 | |||
Multi-layer perceptron (MLP) | 14 | 15 | |||
Radial basis functional neural network (RBFNN) | 8 | 8.7 | |||
Total | 92 | 99.9 | 100 |
Regression | No. of papers | Implementations (%) | Probabilistic model | No. of papers | Implementations (%) |
|---|---|---|---|---|---|
Support vector regression (SVR) | 27 | 29.3 | Naïve bayes | 38 | 41.3 |
Autoregressive integrated moving average (ARIMA) | 56 | 60.9 | Bayesian networks | 54 | 58.7 |
Autoregression | 9 | 9.8 |
Hybrids | No. of papers | Implementations (%) | Clustering | No. of papers | Implementations (%) |
|---|---|---|---|---|---|
Semi-Support vector machine (semi-SVM) | 13 | 14.13 | K-means | 69 | 75 |
Deep autoencoder-k neural networks graph (DAE-KNNG) | 8 | 8.70 | C-means | 11 | 11.96 |
Mutual k-nearest neighbors (MNN) | 3 | 3.26 | |||
Entropy-based | 9 | 9.78 |
One-class learning | No. of papers | Level of implementations (%) | Dimensionality reduction | No. of papers | Level of implementations (%) |
|---|---|---|---|---|---|
One-class random forest (OCRF) | 4 | 4.34 | Principal component analysis (PCA) | 17 | 18.48 |
One-class support vector machine (OCSVM) | 3 | 3.26 | Linear discriminant analysis (LDA) | 11 | 11.96 |
One-class neural network (OCNN) | 2 | 5.43 | Quadratic discriminant analysis (QDA) | 9 | 9.78 |
Multiple discriminant analysis (MDA) | 7 | 7.61 | |||
One-class convolutional neural network (OCCNN) | 9 | 9.78 |