Real-time classification of datasets with hardware embedded neuromorphic neural networks.
László BakóPublished in: Briefings Bioinform. (2010)
Keyphrases
- real time
- neural network
- pattern recognition
- low cost
- benchmark datasets
- uci repository
- classification accuracy
- embedded systems
- machine learning
- rule extraction
- graphics hardware
- uci machine learning repository
- support vector machine svm
- support vector machine
- classification algorithm
- image classification
- real time systems
- pattern classification
- learning vector quantization
- text classification
- embedded processors
- associative classifiers
- supervised learning
- support vector
- decision trees
- feature selection
- real time embedded
- vlsi architecture
- dedicated hardware
- control software
- training process
- benchmark data sets
- classification rules
- feature extraction
- genetic algorithm
- data sets
- feature selection algorithms
- hardware and software
- data acquisition
- classification method
- high speed
- fuzzy logic
- learning algorithm