Improving Accuracy of an Amplitude Comparison-Based Direction-Finding System by Neural Network Optimization.
Enqi YanXiye GuoJun YangZhijun MengKai LiuXiaoyu LiGuokai ChenPublished in: IEEE Access (2020)
Keyphrases
- neural network
- pattern recognition
- highly accurate
- computational cost
- neural network model
- confusion matrices
- fuzzy logic
- optimization problems
- optimization algorithm
- computational efficiency
- high precision
- image reconstruction from projections
- constrained optimization
- error rate
- artificial neural networks
- optimization process
- back propagation
- multi layer
- generalization ability
- neural nets
- prediction accuracy
- classification accuracy
- training data