Optimization of backpropagation using nguyen-widrow and stimulus-sampling for breast cancer classification and feature selection

Keyphrases

• Feature Selection 100%
• Backpropagation 100%
• Breast Cancer Classification 100%
• Stimulus Sampling 100%
• Nguyen-Widrow 100%
• Breast Cancer 60%
• Sampling Algorithm 60%
• Accuracy Value 40%
• Early Detection 40%
• MicroRNA 40%
• Early Diagnosis 20%
• Feature Selection Methods 20%
• Classification Performance 20%
• Classification Process 20%
• Weight Value 20%
• Back-propagation Artificial Neural Network (BP-ANN) 20%
• Sensitivity Specificity 20%
• Performance-based 20%
• Artificial Neural Network 20%
• Breast Cancer Data 20%
• Leading Causes of Death 20%
• Error Value 20%
• MicroRNA Profile 20%
• Training Time 20%
• Optimization Algorithm 20%
• Stage-based 20%
• AUC Value 20%
• Metastatic Stage 20%
• Output Unit 20%
• Convergence Process 20%
• Neural Network Technologies 20%
• Cancer Death Rates 20%

Computer Science

• Feature Selection 100%
• Backpropagation 100%
• Sampling Algorithm 75%
• Early Detection 50%
• Optimization Algorithm 25%
• back-propagation neural network 25%
• Network Technology 25%
• Artificial Neural Network 25%
• Classification Performance 25%
• Good Performance 25%
• Classification Process 25%
• Convergence Process 25%