Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation

Mathematics

• Adaptive Neuro-fuzzy Inference System 100%
• FPGA Implementation 89%
• Behavioral Modeling 88%
• Power Amplifier 86%
• Genetic Programming 67%
• Hardware 23%
• LTE-advanced 21%
• Modeling 18%
• Resources 18%
• Linearization 17%
• Model 15%
• Field Programmable Gate Array 15%
• Performance Metrics 14%
• Design Process 14%
• Testbed 14%
• Wireless Communication 13%
• Transmitter 13%
• Memory Effect 12%
• Integrity 12%
• Communication Systems 11%
• Post-processing 11%
• Semiconductors 11%
• Local Search 11%
• Data-driven 10%
• Correlation coefficient 10%
• Linearity 10%
• Bandwidth 9%
• Heuristics 8%
• Adjacent 7%
• Minimise 7%
• Logic 7%
• Chain 7%
• Experiment 7%
• Costs 7%
• Simulation 6%
• Curve 5%
• Characterization 5%

Engineering & Materials Science

• Genetic programming 55%
• Fuzzy inference 50%
• Power amplifiers 47%
• Field programmable gate arrays (FPGA) 39%
• Radio frequency amplifiers 29%
• Linearization 19%
• Computer hardware 11%
• High electron mobility transistors 11%
• Testbeds 9%
• Semiconductor materials 8%
• Transmitters 8%
• Communication systems 7%
• Bandwidth 6%
• Data storage equipment 5%
• Costs 3%
• Experiments 3%