Run-off election-based decision method for the training and inference process in an artificial neural network

Keyphrases

• Training Process 100%
• Artificial Neural Network 100%
• Activation Function 100%
• Decision Method 100%
• Inference Process 100%
• Sequence-based 66%
• Postsynaptic Density Protein 95 (PSD-95) 66%
• Filter Evaluation 66%
• Artificial Neural Network System 66%
• Image Data 33%
• Unstructured Data 33%
• Training Algorithm 33%
• Additional Filter 33%
• Shoes 33%
• Fully Connected 33%
• Recognition Accuracy 33%
• Weight Update 33%
• Classified Image 33%
• Training Performance 33%
• Inference Performance 33%
• Similar Species 33%
• Single-layer Network 33%
• Enhanced Training 33%
• Input Bias 33%
• Fully Connected Network 33%
• Matrix Array 33%

Computer Science

• Training Process 100%
• Decision Method 100%
• Activation Function 100%
• Inference Process 100%
• Artificial Neural Network 100%
• Synaptic Weight 66%
• Network Layer 33%
• Recognition Accuracy 33%
• Large Data Set 33%
• training algorithm 33%
• Connected Network 33%
• Unstructured Data 33%

Engineering

• Decision Rule 100%
• Run-off 100%
• Inference Process 100%
• Artificial Neural Network 100%
• Activation Function 75%
• Synaptic Weight 50%
• Nodes 25%
• Bias Input 25%
• Image Data 25%
• Layer Network 25%
• Recognition Accuracy 25%
• Output Activation 25%
• Output Class 25%