Training Neural Networks to Count White Blood Cells via a Minimum Counting Error Objective Function.
Nipon Theera-UmponPaul D. GaderPublished in: ICPR (2000)
Keyphrases
- neural network
- objective function
- training process
- white blood cells
- training algorithm
- pattern recognition
- feedforward neural networks
- feed forward neural networks
- back propagation
- optimal solution
- multi layer perceptron
- backpropagation algorithm
- error rate
- neural network training
- artificial neural networks
- reconstruction error
- generalization error
- global optimality
- automatic recognition
- constrained optimization
- training examples
- neural network model
- training set
- recurrent networks
- training error
- optimization problems
- training phase
- feed forward
- multilayer perceptron
- test set
- covariance matrix
- neural network structure
- cost function
- activation function
- linear programming
- fuzzy logic
- data sets
- genetic algorithm
- error back propagation
- error bounds
- supervised learning
- recurrent neural networks
- training samples
- neural nets
- error analysis
- minimum cost
- machine learning