(MLP's) are feedforward neural networks .
Moreover, Decision Tree, Lazy classifier and Multilayer perceptron
used in this paper to classify the accident data.
The predictive accuracy of GLM (General Linear Model), CART (Classification and Regression Tree), CHAID (Chi-square Automatic Interaction Detector), Exhaustive CHAID, and MLP (Multilayer Perceptron
) as a ANNs type in the prediction of lactation milk yield in sheep were examined comparatively by using model assessment criteria such as R2, R2ADJUSTED, SDRATIO, CV(%), RMSE, RAE, MAPE, MAD and Pearson correlation coefficient (r) between actual and predicted lactation milk yield values, respectively.
Nozari, "Application of multilayer perceptron
and radial basis function neural networks in differentiating between chronic obstructive pulmonary and congestive heart failure diseases," Expert Systems with Applications, vol.
(MLP) with one hidden layer containing two MLP(2) or five MLP(5) units with the logistic activation function for the hidden layer and linear activation function for the output layer.
Generally, single layer Perceptron neural networks are sufficient for solving linear problems, but nowadays the most commonly employed technique for solving nonlinear problems is Multilayer Perceptron
Neural Network (MLPNN) .
They were automatically reclassified through clustering, and various machine learning methods such as linear regression (LR), multilayer perceptron
(MLP), and support vector regression (SVR) were applied to them in order to analyze the results for comparison.
We deployed several classification algorithms: linear, quadratic, and logistic discriminant analysis, k-nearest neighbour searching with different numbers of k, the naive Bayes rule, multilayer perceptron
networks, and support vector machines.
The neural network of choice for this study was the multilayer perceptron
or MLP with a single hidden layer.
In this paper we investigate the performance of a classifier for four classes of movement (flexion, extension, pronation and supination) using autoregressive (AR) modeling and a multilayer perceptron
 is an artificial neural network model that can resolve this kind of nonlinear data.
Huang, "Multilayer perceptron
learning with particle swarm optimization for well log data inversion," in Proceedings of the International Joint Conference on Neural Networks (IJCNN '12), pp.