TABLE OF CONTENTS | AANN | Autoassociative Neural Network |
| AANN-HSAGA | Hybrid of Autoassociative Neural Network, Simulated Annealing and Genetic Algorithm Algorithm |
| AIDS | Acquired Immunodeficiency Syndrome |
| ANN | Artificial Neural Network |
| ANNGA | Combination of Neural Network and Genetic Algorithm |
| ARCH | Autoregressive Conditional Heteroskedasticity |
| ART | Adaptive Resonance Theory |
| CART | Classification and Regression Trees |
| CI | Computational Intelligence |
| DMS | Dimethyl Sulfide |
| dom | Domain Attribute |
| EM | Expectation Maximization |
| ENN | Extension Neural Network |
| FSA | Fast Simulated Annealing |
| GA(s) | Genetic Algorithm(s) |
| GMM(s) | Gaussian Mixture Model(s) |
| GMM-EM | Gaussian Mixture Models Trained Using Expectation Maximization |
| H | Hessian or Hamiltonian |
| HC | Jill Climbing |
| HGA | Hybrid Genetic Algorithm |
| HIV | Human Immunodeficiency Virus |
| HGAPSO | Hybrid Genetic Algorithm and Particle Swarm Optimization |
| HSAGA | Hybrid Simulated Annealing and Genetic Algorithm |
| ID3 | Iterative Dichotomizer 3 |
| IND | Indiscernibility |
| INVNN | Inverse Neural Networks |
| K | Kernel |
| KTT | Karush-Kuhn Tucker |
| MAR | Missing At Random |
| MBND | Missing by Natural Design |
| MCAR | Missing Completely At Random |
| MDEEF | Missing Data Estimation Error Function |
| MI | Multiple Imputation |
| ML | Maximum Likelihood |
| MLP(s) | Multi-layer Perceptron(s) |
| MNAR | Missing Not At Random |
| MSE | Mean Square Error |
| MTBF | Mean Time Before Failure |
| NN-FSA | Neural Networks and Fast Simulated Annealing |
| NNH | Non-stationary Non-linear Heteroskedasticity |
| NN-HGA | Neural Networks and Hybrid Genetic Algorithm |
| NN-PSO | Neural Network and Particle Swarm Optimization Method |
| OC1 | Oblique Classifier 1 |
| PC | Principal Component |
| PCA | Principal Component Analysis |
| PCA-ANN(s) | Hybrid Principal Component Analysis and Artificial Neural Network(s) |
| PCANNGA | Hybrid of Principal Component Analysis, Neural Network and Genetic Algorithm |
| PCA-NN-HSAGA | Hybrid of Principal Component Analysis, Neural Network, Simulated Annealing and Genetic Algorithm |
| PE-LE | Present Extract Minus Limit Extract |
| PSO | Particle Swarm Optimization |
| RBF(s) | Radial... |
