Research Article
Towards Tax Evasion Detection Using Improved Particle Swarm Optimization Algorithm
Table 2
Initialization of parameters.
| | Parameters | Value | Algorithm |
| | Number of particles | 50 | IPSO | | Iteration | 500 | IPSO | | C1 | 1 | IPSO | | C2 | 2 | IPSO | | 1 | IPSO | | Neuron input layer | 8 | MLP | | Neuron hidden layer | 10 | MLP | | Number of hidden layers | 3 | MLP | | Training data | 80% | MLP | | Testing data | 20% | MLP | | Activation function | Sigmoid | MLP | | Learning rate | 0.15 | MLP | | C | 1–10 | SVM | | 0–1.0 | SVM |
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