Machine Learning Assisted Circuit Sizing Approach for Low-Voltage Analog Circuits with Efficient Variation-Aware Optimization

Keyphrases

• Machine Learning 100%
• Variation-aware 100%
• Circuit Sizing 100%
• Low-voltage Analog Circuits 100%
• Evolutionary Algorithms 66%
• Process Variation Effect 66%
• Evolutionary Optimization 66%
• Popular 33%
• Prediction Model 33%
• Process Variation 33%
• Low Voltage 33%
• Process Optimization 33%
• High Reliability 33%
• Monte Carlo Simulation 33%
• Power Efficient 33%
• Convergence Time 33%
• Low-voltage Design 33%
• Machine Learning Techniques 33%
• Simulation-based Approach 33%
• Force Model 33%
• Design Yield 33%
• Sizing Method 33%
• Force-directed Model 33%
• Analog Circuit Sizing 33%
• Low-power Analog Design 33%

Computer Science

• Analog Circuit 100%
• Machine Learning 100%
• Learning System 100%
• Evolutionary Algorithm 100%
• Process Variation 75%
• Speed-up 50%
• Power Efficient 25%
• Monte Carlo Simulation 25%
• Prediction Model 25%
• Process Optimization 25%
• High Reliability 25%
• Machine Learning Technique 25%

Engineering

• Analog Circuit 100%
• Learning System 100%
• Process Variation 75%
• Adaptability 25%
• Convergence Time 25%
• Machine Learning Technique 25%
• Analog Design 25%
• Force Model 25%