Sea Clutter Suppression Method of HFSWR Based on RBF Neural Network Model Optimized by Improved GWO Algorithm.
Shang ShangKangning HeZhao-Bin WangTong YangMing LiuXiang LiPublished in: Comput. Intell. Neurosci. (2020)
Keyphrases
- improved algorithm
- detection algorithm
- neural network model
- support vector machine svm
- computational cost
- preprocessing
- cost function
- high accuracy
- dynamic programming
- detection method
- rbf neural network
- computational complexity
- segmentation algorithm
- objective function
- clustering method
- significant improvement
- k means
- matching algorithm
- learning algorithm
- growing neural gas
- optimization algorithm
- input data
- neural network
- segmentation method
- similarity measure
- bp neural network
- fuzzy art
- probabilistic model
- optimization method
- recognition algorithm
- convergence rate
- delaunay triangulation
- levenberg marquardt
- radial basis function
- tree structure
- energy function
- simulated annealing
- optimal solution
- feature selection
- rbf network
- artificial neural networks
- orthogonal least squares