Multilayer perceptron neural network (MLP) can be regarded as a logistic regression classifier, which consists of three parts: the input layer, the hidden layer, and the output layer. The input layer receives the external data and calculates the excitation values through the activation function, an...
After training a golden model, the test set has been used to measure the MLP performance as a 15-class classifier. The resulting confusion matrices for the 2 variants are simplified in Tables5and6to show the estimated class in 3 columns: benign, correct attack and other attacks. In multi-c...
SVM is a two-class linear classifier [45,51]. SVM separates data along the decision-making border, called hypersurface [52]. In general, it outlines the border between classes and maps the input space formed by independent variables with non-linear transformation in accordance with the kernel ...
Land cover classification using Google Earth Engine and random forest classifier—The role of image composition. Remote Sens. 2020, 12, 2411. [Google Scholar] [CrossRef] Ertuğrul, O.F. A novel type of activation function in artificial neural networks: Trained activation function. Neural Netw....