Analog VLSI neural networks: implementation issues and examples in optimization and supervised learning.
Silvio P. EberhardtRaoul TawelTimothy X. BrownTaher DaudAnil ThakoorPublished in: IEEE Trans. Ind. Electron. (1992)
Keyphrases
- implementation issues
- analog vlsi
- neural network
- supervised learning
- training examples
- pattern recognition
- optimization algorithm
- artificial neural networks
- reinforcement learning
- optimization problems
- fuzzy logic
- learning algorithm
- learning tasks
- training set
- genetic algorithm
- computer vision
- machine learning
- semi supervised
- objective function
- unsupervised learning
- semi supervised learning
- unlabeled data
- data sets
- recurrent neural networks
- machine vision
- back propagation
- training data
- dynamic programming
- sufficient conditions
- multi objective
- motion estimation