An empirical study of design and testing of hybrid evolutionary-neural approach for classification

Keyphrases

• Genetic Algorithm 100%
• Holdout Sample 100%
• Neural Approach 100%
• Hybrid Evolutionary Algorithm 100%
• Selection Strategy 50%
• Artificial Neural Network 50%
• Binary Classification 50%
• Overfitting 50%
• Back-propagation Artificial Neural Network (BP-ANN) 50%
• Training Samples 50%
• Training Data 50%
• Prediction Accuracy 50%
• Global Search 50%
• Back Propagation Algorithm 50%
• Real-life Data 50%
• Gradient Search 50%
• Local Gradient 50%
• Specialty Training 50%
• Algorithm-based 50%
• Hybrid Approach 50%

Computer Science

• Artificial Neural Network 100%
• Genetic Algorithm 100%
• Hybrid Approach 50%
• Training Data 50%
• Gradient Descent 50%
• Prediction Accuracy 50%
• Backpropagation Algorithm 50%
• Binary Classification 50%