A Neural Network Trained to Identify the Presence of Myocardial Infarction Bases Diagnostic Decision on Nonlinear Relationships Between Input Variables.
William G. BaxtPublished in: Neural Comput. Appl. (1993)
Keyphrases
- input variables
- artificial neural networks
- neural network model
- neural network
- myocardial infarction
- auto associative
- hidden neurons
- multilayer perceptron
- variable selection
- multi layer perceptron
- decision making
- fuzzy rules
- membership functions
- expert systems
- activation function
- back propagation
- feedforward neural networks
- number of input variables
- genetic algorithm
- hidden layer
- high dimensional
- pattern recognition
- recurrent neural networks
- least squares
- high resolution
- support vector