An entropy-based quantum neuro-fuzzy inference system for classification applications

Keyphrases

• Entropy-based 100%
• Adaptive Neuro-fuzzy Inference System 100%
• Classification Applications 100%
• Back Propagation Algorithm 50%
• Membership Function 50%
• Clustering Algorithm 50%
• Fuzzy Entropy 50%
• Self-clustering 50%
• Learning Algorithm 25%
• Number of Clusters 25%
• Layered Structure 25%
• Algorithm Method 25%
• Adjustable Parameters 25%
• Self-constructing 25%
• Five-layer 25%
• Pattern Size 25%
• Sigmoid Function 25%
• Quantum Levels 25%
• Pattern Distribution 25%
• Single-pass Algorithm 25%
• Multilevel Activation Function 25%
• Takagi-Sugeno-Kang 25%

Engineering

• Fuzzy Inference System 100%
• Fuzzy System 100%
• Backpropagation Algorithm 50%
• Membership Function 50%
• Clustering Algorithm 50%
• Activation Function 25%
• Learning Algorithm 25%
• Applicability 25%
• Input Data 25%
• Layer Structure 25%
• Sigmoid Function 25%
• Algorithm Pass 25%

Computer Science

• neuro-fuzzy 100%
• Inference System 100%
• Membership Function 50%
• Clustering Algorithm 50%
• Backpropagation Algorithm 50%
• Activation Function 25%
• Learning Algorithm 25%
• Sigmoid Activation Function 25%