Use of Partial Reconfiguration for the Implementation and Embedding of the Artificial Neural Network (ANN) in FPGA.
Carlos Alberto de Albuquerque SilvaAnthony Andrey Ramalho DinizAdrião Duarte Dória NetoJosé Alberto Nicolau de OliveiraPublished in: PECCS (2014)
Keyphrases
- artificial neural networks
- back propagation
- neural network
- hardware implementation
- ann models
- genetic algorithm
- using artificial neural networks
- input variables
- considerable increase
- hardware architecture
- multilayer perceptron
- fpga technology
- application of artificial neural networks
- image processing
- efficient implementation
- multi layer perceptron
- low cost
- neural network model
- fpga implementation
- backpropagation neural network
- real time image processing
- hardware architectures
- signal processing
- reconfigurable hardware
- genetic algorithm ga
- neural nets
- software implementation
- data hiding
- activation function
- recurrent neural networks