Accuracy Versus Simplification in an Approximate Logic Neural Model

Keyphrases

• Neural Model 100%
• Logic Circuit 100%
• Approximate Logic 100%
• Multi-objective Differential Evolution 50%
• Synapse 16%
• Pareto-based 16%
• Specific Task 16%
• Dendrite 16%
• Classification Performance 16%
• Back Propagation Algorithm 16%
• Learning Methods 16%
• Classification Speed 16%
• Dendritic Structure 16%
• Generalization Ability 16%
• Dendritic Morphology 16%
• Control Gate 16%
• Conventional Learning 16%
• Multi-objective Differential Evolution Algorithm 16%
• Model Circuit 16%
• Training Process 16%
• Benchmark Problems 16%
• OR Gate 16%
• Single Neuron Model 16%
• Computing Time 16%
• Learnability 16%
• Single-objective 16%
• Neural Logic 16%
• Classification Problem 16%
• Simplified Structure 16%
• Fast Classification 16%
• Evolutionary Algorithms 16%

Computer Science

• Multiobjective 100%
• Differential Evolution 75%
• Comparator 25%
• Classification Problem 25%
• Single Objective 25%
• Training Process 25%
• Experimental Result 25%
• Learning Capacity 25%
• Evolutionary Algorithms 25%
• Approximation (Algorithm) 25%
• differential evolution algorithm 25%
• Classification Performance 25%
• Conventional Learning 25%
• Benchmark Problem 25%
• Backpropagation Algorithm 25%
• Computer Hardware 25%

Engineering

• Logic Circuit 100%
• Neural Model 100%
• Classification Performance 16%
• Experimental Result 16%
• Benchmark Problem 16%
• Classification Problem 16%
• Computing Time 16%
• Comparator 16%
• Backpropagation Algorithm 16%
• Single Neuron 16%