The demo creates and trains a Winnow prediction model: This article assumes you have intermediate or better programming skill but doesn't assume you know anything about the Winnow binary ...

In this study, several machine learning algorithms ... as miss-classification rates and average squared error) and iteration plots are constructed on both the entire training data set and the ...

Note that when there are just two possible values to predict (for example, sex = male or female), the problem is called binary classification, which typically uses different algorithms ... trains a ...

1) This article aims to develop the ANN approach for CHB MLI fault diagnosis that utilizes multilayer perceptron (MLP) to detect open circuit faults ... faults and trained using the fault detection ...

therefore these components when connected to a DC microgrid needs more attention and protection against a different type of circuit faults like short ... This paper presents a new ANN-enabled bat ...

This method is different in mechanism from traditional power flow calculations, which is applied to generate the state-based power flow sample data sets by using Kirchhoff circuit laws ...