An Efficient Partition of Training Data Set Improves Speed and Accuracy of Cascade-correlation Algorithm.
Igor V. TetkoAlessandro E. P. VillaPublished in: Neural Process. Lett. (1997)
Keyphrases
- high accuracy
- data sets
- times faster
- learning algorithm
- processing speed
- computational efficiency
- optimization algorithm
- dynamic programming
- computational complexity
- preprocessing
- computationally efficient
- objective function
- computational speed
- detection algorithm
- experimental evaluation
- publicly available data sets
- accuracy rate
- computational cost
- cost function
- k means
- training speed
- cascade correlation
- exhaustive search
- training algorithm
- machine learning
- training process
- segmentation algorithm
- input data
- significant improvement
- training set
- particle swarm optimization
- unseen data
- knowledge base
- decision making
- synthetic and real world data sets
- genetic algorithm