A generic FPGA-based hardware architecture for recursive least mean p-power extreme learning machine.
Hui HuangJing YangHai-Jun RongShaoyi DuPublished in: Neurocomputing (2021)
Keyphrases
- hardware architecture
- extreme learning machine
- hardware implementation
- feed forward neural networks
- feedforward neural networks
- hardware architectures
- neural network
- support vector regression
- hidden nodes
- single layer
- field programmable gate array
- gaussian processes
- power consumption
- associative memory
- pattern recognition
- activation function
- variable selection
- computational power
- multi layer
- back propagation
- signal processing
- support vector machine
- radial basis function
- real time