In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and ...

Machine learning (ML) algorithms can accurately extract quantitative patterns from datasets without requiring prior knowledge, playing an increasingly crucial role in tasks such as information ...

Aiming at the low accuracy of fault diagnosis of existing switch machines, a fault diagnosis model based on genetic algorithm optimized BP was proposed. Firstly, the power data of S700K collected by ...

Amid all the hype and hysteria about ChatGPT, Bard, and other generative large language models (LLMs), it’s worth taking a step back to look at the gamut of AI algorithms and their uses.After ...

We will have to resort to reinforcement learning to train such a network with backpropagation. The forward-forward algorithm doesn’t necessarily need to convert good data to bad data. For example, we ...

Machine Learning Algorithm Using Electronic Chart-Derived Data to Predict Delirium After Elderly Hip Fracture ... The correlation coefficient was calculated by the layer-wise relevance propagation ...