LSTM-DGMDH: High-Dimensional Index Tracking Based on LSTM and Adaptive Deep Evolutionary GMDH Neural Network.
He TongYusheng LiuLin LiuNing LiSibao ChenLixiang XuYuanyan TangPublished in: IEEE Access (2023)
Keyphrases
- recurrent neural networks
- neural network
- high dimensional
- genetic algorithm
- feed forward
- artificial neural networks
- group method of data handling
- visual tracking
- hidden layer
- high dimensional indexing
- object tracking
- back propagation
- dimensionality reduction
- fuzzy logic
- adaptive neural
- adaptive fuzzy
- feature space
- pattern recognition
- low dimensional
- particle filter
- multi objective
- evolutionary computation
- neural fuzzy
- self organizing maps
- real time
- database
- data points
- nearest neighbor
- neural network model
- similarity search
- high dimensional data
- indexing techniques
- bp neural network
- evolutionary algorithm
- polynomial neural networks
- multi dimensional
- particle filtering
- mean shift
- index structure
- parameter space
- fault diagnosis
- radial basis function
- motion model
- input output