Traction Machine State Recognition Method Based on DPCA Algorithm and Convolution Neural Network.
Dongyang LiJianyi YangZaisheng PanNanyang LiPublished in: Sensors (2023)
Keyphrases
- recognition algorithm
- computational cost
- neural network
- detection algorithm
- detection method
- preprocessing
- optimization algorithm
- dynamic programming
- cost function
- high accuracy
- improved algorithm
- computationally efficient
- significant improvement
- optimization method
- segmentation algorithm
- experimental evaluation
- clustering method
- objective function
- convergence rate
- recognition rate
- matching algorithm
- computational complexity
- levenberg marquardt
- classification algorithm
- tree structure
- segmentation method
- anti noise
- nearest neighbour
- principal components
- similarity measure
- training algorithm
- k means
- fast fourier transform
- training process
- orthogonal basis
- support vector machine svm
- expectation maximization
- feed forward neural networks
- back projection
- artificial neural networks
- clustering algorithm
- optimal solution
- neural network structure
- method for face recognition
- object recognition
- discrete fourier transform
- fourier domain
- region of interest
- np hard
- probabilistic model
- energy function
- image matching