Multilayer Perceptron library This library enables users to create and train multilayer preceptron models in C++. Usage is similar to pytorch library for python. The example usage can be seen in ...

The multilayer perceptron (MLP) neural network is interpreted from the geometrical viewpoint in this work, that is, an MLP partition an input feature space into multiple nonoverlapping subspaces using ...

This is the loop to update the weights as per need of the code. This is the core Perceptron Learning Rule: If prediction is correct → no update If wrong → adjust weights toward the true class The ...

Auroral image classification has long been a focus of research in auroral physics. However, current methods for automatic auroral classification typically assume that only one type of aurora is ...

Our previous study (Müller et al., 2020) compared results from a variety of DL methods including multilayer perceptron (MLP), RNN, long short term memory (LSTM), and 1D-convolutional neural network ...