A new fuzzy unit selection cost function optimized by relaxed gradient descent algorithm.
Matej RojcIzidor MlakarPublished in: Expert Syst. Appl. (2020)
Keyphrases
- cost function
- objective function
- optimal solution
- times faster
- preprocessing
- detection algorithm
- high accuracy
- improved algorithm
- computational cost
- selection algorithm
- experimental evaluation
- np hard
- computationally efficient
- learning algorithm
- search space
- computational complexity
- global minimum
- fuzzy partition
- dynamic programming
- k means
- linear programming
- theoretical analysis
- least squares
- selection strategy
- recognition algorithm
- convergence rate
- loss function
- optimization algorithm
- expectation maximization
- particle swarm optimization
- significant improvement
- artificial neural networks
- lower bound
- search algorithm
- bayesian networks