Implementation of a NARX neural network in a FPGA for modeling the inverse characteristics of power amplifiers.
J. A. Rentería-CedanoL. M. Aguilar-LoboJosé Raúl Loo-YauSusana Ortega-CisnerosPublished in: MWSCAS (2014)
Keyphrases
- neural network
- feed forward
- hardware implementation
- high speed
- back propagation
- dedicated hardware
- genetic algorithm
- hardware architecture
- artificial neural networks
- high power
- power consumption
- efficient implementation
- fpga technology
- real time
- software implementation
- neural network model
- long term
- pattern recognition
- network architecture
- low cost
- fuzzy logic
- power reduction
- hardware architectures