Architecture for large microelectronic supervised learning artificial neural networks using a hybrid digital-analog approach.
Francis J. KubM. G. AnconaIngham A. MackK. MoonC. T. YaoPublished in: Neural Networks (1988)
Keyphrases
- artificial neural networks
- supervised learning
- mixed signal
- sigma delta
- multi channel
- low power
- cmos image sensor
- analog vlsi
- analog to digital converter
- vlsi architecture
- neural network
- using artificial neural networks
- back propagation
- active learning
- data conversion
- reinforcement learning
- machine learning
- real time
- circuit design
- polynomial neural networks
- supervised machine learning
- network architecture
- dynamic range
- genetic algorithm ga
- unsupervised learning
- training data
- image sensor
- multiple instance learning
- vlsi implementation
- neural models
- multi layer
- neural network model
- computational intelligence
- management system
- printed circuit
- feature selection
- feedforward artificial neural networks