AZoAI on MSN1d
NdLinear Reinvents Neural Layers To Boost Accuracy And Slash Parameters In AI Models
A new study proposes NdLinear, a multi-dimensional linear layer that preserves data structure and slashes parameter counts ...
Semiconductor Engineering11d
Physics Simulation With Graph Neural Networks Targeting Mobile
Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.
AI basics: What are neural networks and why are they significant?
The field of AI is notoriously filled with jargon. To better understand what is going on, here is a series of explainers, ...
Frontiers18d
Efficient substructure feature encoding based on graph neural network blocks for drug-target interaction prediction
Previous studies have confirmed the effectiveness of graph neural networks (GNNs ... We combined multiple layers of GNN as a GNNBlock unit to capture the hidden structural patterns from drug graph ...
techxplore20d
Researchers teach neural networks to add clouds and snow to images
The research results are presented in Advances in Space Research. The code and examples are available on GitHub. Convolutional neural networks have become one of the best tools for image and video ...
Impacts23d
How to Use Artificial Neural Networks for Predictive Analytics
The architecture of your artificial neural network (ANN) can significantly influence its performance. Start with determining the number of layers and neurons in each layer. A simple model may require ...
IEEE25d
A Novel Adaptive Recurrent Neural Network-Based Control Strategy for Type 3 WF to Mitigate Subsynchronous Interactions
This article proposes a novel adaptive control technique to suppress SSI in doubly fed induction generator (DFIG)-based wind power systems using recurrent dual hidden layer radial basis function ...
IEEE27d
Anomaly Correction for Radiation Patterns of Active Phased Array Antenna Based on a Neural Network
To overcome this problem, this paper proposes an antenna radiation pattern anomaly correction model (ARPACM) based on a neural network to compensate ... The weights of the last hidden layer of the ...