Introduction: Regression and classification are two of the most fundamental and significant areas of machine learning. Methods: In this paper, a radial basis function neural network (RBFNN) based on ...

The whole proposed PolSAR classification algorithm includes three parts: the WLCE algorithm, the convolution neural network (NN) training algorithm, and the Markov random field (MRF) postprocessing ...

The new classification algorithm is compared with the probabilistic neural network (PNN), enhanced PNN (EPNN), and support vector machine using two sets of classification problems. The first set ...

which typically uses different algorithms than binary classification. Arguably the most powerful binary classification technique is a neural network model. There are several tools and code libraries ...

With the continuous development of deep learning, various deep learning algorithms are gradually applied to image classification ... neural network. It can be seen that the solid yellow line is ...

In out‐of‐hospital cardiac arrest, an algorithm within an automated external defibrillator is the major determinant to deliver defibrillation. This study developed and validated the performance of a ...