Weak and strong convergence analysis of Elman neural networks via weight decay regularization

Keyphrases

• Comparison Experiment 50%
• Convergence Analysis 100%
• Elman Neural Network 100%
• Excessive Growth 50%
• Function Approximation 50%
• Function Classification 50%
• Generalization Performance 50%
• Novel Variants 50%
• Overfitting 50%
• Strong Convergence 100%
• Strong Convergence Theorem 50%
• Weak Convergence 100%
• Weight Decay 100%

Mathematics

• Approximation of Function 50%
• Convergence Analysis 100%
• Convergence Result 50%
• Neural Network 100%
• Real-World Data 50%
• Regularization 100%
• Strong Convergence 100%
• Weak Convergence 100%

Computer Science

• Function Approximation 50%
• Generalization Performance 50%
• Mathematical Convergence 100%
• Neural Network 100%
• Regularization 100%