Latest Articles for Multi-Layer Perceptron

Scientists harness neural networks to improve understanding of nuclear reactions at low energies.

Exploring KANs as a new approach for efficient reinforcement learning models.

A study on KAN's effectiveness compared to traditional methods in time series analysis.

FourierKAN offers a new way to improve text classification accuracy and efficiency.

UKAN enhances AI efficiency and accuracy for complex data tasks.

A new model enhances the accuracy of predicting solar flare locations.

CrossGR enhances product recommendations across markets using innovative graph technology.

Discover how KANs offer an efficient alternative to traditional neural networks.

KAT improves deep learning by using advanced KANs to replace MLPs.

A new method enhances predictions in machine learning using specialized models.

A framework using MLP and SVM identifies Android malware effectively.

This article explores how statistical physics aids in understanding neural network learning.

MLP-GaP quickly predicts galaxy properties from massive data sets.

QuWeiT transforms AI efficiency by reducing energy use while maintaining performance.

KANs offer flexibility and efficiency in machine learning compared to MLPs.

Combining technology and methods to improve disease detection in capsule endoscopy.

NumGrad-Pull efficiently reconstructs surfaces from 3D point clouds with improved detail.

MDiFF offers a smarter way to forecast fashion sales and reduce waste.

OP-LoRA enhances AI models for specific tasks, improving efficiency and performance.

A new method enhances how computers interpret text using event-based learning.

KKANs bring fresh methods to tackle complex scientific challenges effectively.

Innovative models inspired by biology reshape energy-efficient network traffic prediction.

Introducing ERGNN, a new method improving graph neural networks with rational filters.