Hardware implementation of Spiking Neural Network classifiers based on backpropagation-based learning algorithms.
Marco Aurelio Nuño-MagandaMiguel O. Arias-EstradaCésar Torres-HuitzilBernard GirauPublished in: IJCNN (2009)
Keyphrases
- hardware implementation
- back propagation
- feed forward
- learning algorithm
- neural network
- artificial neural networks
- learning rules
- neural nets
- training algorithm
- hidden layer
- bp algorithm
- signal processing
- bp neural network
- feed forward neural networks
- activation function
- efficient implementation
- software implementation
- cascade correlation
- fpga implementation
- spiking neural networks
- multilayer perceptron
- multilayer perceptron neural network
- backpropagation neural network
- error back propagation
- field programmable gate array
- fuzzy logic
- backpropagation algorithm
- dedicated hardware
- recurrent neural networks
- feedforward neural networks
- image processing algorithms
- fpga technology
- supervised learning
- machine learning algorithms
- knowledge base
- fpga device
- training data
- multilayer neural network
- particle swarm optimization