An efficient method of disturbance analysis and train rescheduling using MWDLNN and BMW-SSO algorithms.
Neeraj KumarAbhishek MishraPublished in: Soft Comput. (2021)
Keyphrases
- computationally efficient
- significant improvement
- computational efficiency
- theoretical analysis
- computational cost
- synthetic and real data sets
- high accuracy
- high precision
- pairwise
- recently developed
- experimental evaluation
- synthetic data
- support vector machine svm
- highly efficient
- classification algorithm
- detection method
- machine learning methods
- convergence rate
- search methods
- optimization problems
- exhaustive search
- hybrid method
- dynamic programming
- heuristic methods
- data analysis
- computational complexity
- complexity analysis
- high computational complexity
- neural network
- computational speed
- optimization method
- segmentation method
- worst case
- classification accuracy
- cost function
- similarity measure
- image sequences
- image processing
- data mining