A learning rule of neural networks via simultaneous perturbation and its hardware implementation.
Yutaka MaedaHiroaki HiranoYakichi KanataPublished in: Neural Networks (1995)
Keyphrases
- hardware implementation
- learning rules
- neural network
- signal processing
- artificial neural networks
- efficient implementation
- back propagation
- fpga implementation
- learning mechanism
- biologically inspired
- software implementation
- dedicated hardware
- image processing algorithms
- pattern recognition
- hopfield neural network
- hardware architecture
- spiking neural networks
- hardware design
- feed forward
- field programmable gate array
- learning scheme
- learning algorithm
- image processing
- image binarization
- activation function
- genetic algorithm
- multilayer perceptron
- fuzzy logic
- image analysis
- real time
- training algorithm
- hidden layer
- parallel architecture
- neural network model
- memory management
- data streams
- feature extraction