IEEE

Classification of Network Anomalies Using a Multilayer Perceptron

Abstract: The multilayer perceptron (MLP) is an effective tool for classifying network anomalies. This paper examines the methodology for applying MLP to this task, covering data preprocessing, neural ...
IEEE

Multilayer Perceptron Artificial Neural Network-Based Solution for Interharmonics Diagnosis in Frequency Spectra

Abstract: Interharmonics diagnosis is increasingly important due to the rise of power electronic devices, renewable energy systems, and related technologies. The IEC 61000-4-7 standardizes the ...
eLife

A differentiable model for optimizing the genetic drivers of synaptogenesis

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Frontiers

Research on intelligent predicting method of underwater acoustic field based on physics-informed neural network

In the context of the rapid development of computer hardware and the continuous improvement of the artificial intelligence and deep learning theory, aiming at the traditional numerical solution method ...