Support Vector Machine Optimized by Genetic Algorithm for Data Analysis of Near-Infrared Spectroscopy Sensors.
Di WangLin XieSimon X. YangFengchun TianPublished in: Sensors (2018)
Keyphrases
- genetic algorithm
- support vector machine
- data analysis
- genetic algorithm is employed
- machine learning
- data acquisition
- data fusion
- quantitative analysis
- data processing
- multi objective
- sensor networks
- multi class
- fitness function
- support vector
- training data
- data mining
- svm classifier
- binary decision tree
- sensor data
- multi sensor
- parameter optimization
- optimization method
- data collection
- support vector machine svm
- neural network
- evolutionary algorithm
- artificial neural networks
- real time
- kernel function
- principal components analysis
- hyperplane
- feature vectors
- hybrid algorithm
- elman neural network
- high classification accuracy
- sensor fusion
- optimal parameters
- life sciences
- genetic programming
- genetic algorithm ga
- fuzzy logic
- data warehouse
- high dimensional data
- radial basis function
- data points
- high dimensional
- rough sets
- feature space
- ant colony optimization
- stock market prediction
- feature selection
- simulated annealing