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What Is An Activation Function In A Neural Network? (Types Explained Simply)

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! #NeuralNetworks ...
Hosted on MSN

Cost Functions In Neural Networks Explained – Which One Should You Use And Why?

Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...
Scientific Research Publishing

Rawat, A., Yadav, R.N. and Shirivastava, S.C. (2013) Neural Modeling of Antenna Array Using Radial Basis Neural Network for Directivity Prediction. International Journal of ...

ABSTRACT: Ahead of the Internet of Things and the emergence of big data, the interest of research is today focused on radio access and the process of optimizing it or increasing its capacity and ...
GitHub

All-KAN: All Kolmogorov-Arnold Networks We Know

This repository gathers all known Kolmogorov-Arnold Networks (including those I developed) from various sources. These networks are implemented for image classification on some simple image ...
IEEE

Neural Network Models for Predicting Magnetization Surface Switched Reluctance Motor: Classical, Radial Basis Function, and Physics-Informed Techniques

Abstract: Neural networks have increasingly been utilized in electric drive systems to enhance modeling, control, and optimization. These data-driven techniques enable accurate predictions of complex ...
GitHub

Add Radial Basis Function Neural Network (RBFNN)

Radial Basis Function Neural Networks (RBFNNs) are a type of neural network that combines elements of clustering and function approximation, making them powerful for both regression and classification ...