Designing an algorithm for evaluating decision-making units based on neural weighted function.
Rahim SaneifardPublished in: Neural Comput. Appl. (2013)
Keyphrases
- learning algorithm
- experimental evaluation
- detection algorithm
- preprocessing
- particle swarm optimization
- optimal solution
- search space
- cost function
- times faster
- dynamic programming
- np hard
- significant improvement
- high accuracy
- linear programming
- segmentation algorithm
- piecewise linear
- learning rules
- computational complexity
- weight function
- neural network
- lp norm
- recognition algorithm
- convergence rate
- data envelopment analysis
- statistical models
- matching algorithm
- optimization algorithm
- decision makers
- multi dimensional
- worst case
- k means
- lower bound
- objective function
- bayesian networks
- machine learning