Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation.
José Alejandro Galaviz-AguilarPatrick RoblinJosé Ricardo Cárdenas-ValdezEmigdio Z.-FloresLeonardo TrujilloJosé-Cruz Nuñez PérezOliver SchützePublished in: Soft Comput. (2019)
Keyphrases
- genetic programming
- fpga implementation
- fitness function
- evolutionary computation
- hardware implementation
- gene expression programming
- high power
- power consumption
- pattern recognition
- symbolic regression
- neural network
- financial forecasting
- real time
- experimental data
- evolutionary algorithm
- computer vision
- genetic algorithm