GitHub

LSTM and RNN Tutorial with Demo (with Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation)

What is Deep Learning (DL)? "Deep Learning is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks." There are ...
Frontiers

An interpretable building air conditioning load forecasting framework using SSA-optimized Bi-LSTM and SHAP analysis

Short-term air conditioning load forecasting in industrial buildings plays a key role in energy management and carbon neutrality efforts. Yet internal disturbances, latent heat variations, and ...
Frontiers

Life prediction of NC machine tools based on DT technology and LSTM technology

In order to solve the problems of physical model simplification error, insufficient fusion of multi-source monitoring data, and low accuracy of life prediction in traditional CNC machine tool life ...
Analytics Insight

How to Build AI Models with TensorFlow

TensorFlow has emerged as one of the most popular frameworks for building machine learning models. Whether you are a beginner or an experienced data scientist, understanding how to build AI models ...
Scientific Research Publishing

Wind Speed Prediction Based on Improved VMD-BP-CNN-LSTM Model ()

1 College of Railway Transportation, Hunan University of Technology, Zhuzhou, China. 2 College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, China. Wind energy, ...