Artificial neural network (ANN), M5P-tree, and regression analyses to predict the early age compression strength of concrete modified with DBC-21 and VK-98 polymers.
Ahmed MohammedLajan BurhanKawan GhaforWarzer SarwarWael MahmoodPublished in: Neural Comput. Appl. (2021)
Keyphrases
- artificial neural networks
- feed forward back propagation
- generalized regression neural network
- neural network
- back propagation
- tree structure
- ann models
- regression model
- using artificial neural networks
- feed forward artificial neural networks
- genetic algorithm
- application of artificial neural networks
- regression trees
- wavelet tree
- feed forward
- radial basis function
- compression scheme
- neural nets
- data compression
- multilayer perceptron
- image compression
- considerable increase
- neural network model
- compression algorithm
- genetic algorithm ga
- binary tree
- feed forward neural networks
- model selection
- backpropagation neural network
- tree induction
- learning rules
- activation function
- input variables
- evolutionary artificial neural networks
- recurrent neural networks
- compression ratio
- multi dimensional
- index structure
- regression function
- regression method
- regression problems
- multi layer perceptron
- bp neural network
- linear regression