Abstract: This article proposes a novel network architecture, namely the large-kernel group convolutional perceptron attention network (LCPA-Net), for the purpose of diagnosing interturn short circuit ...

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

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 ...