In this paper we propose an efficient pruning-split long short-term memory (LSTM) learning algorithm to address ... served users' quality of service (QoS). Finally an algorithm split layer selection ...

This paper focuses on machine learning forecasting algorithms for solar power generation, specifically using the Long Short-Term Memory (LSTM) algorithm, a type of recurrent neural network (RNN).

Methods: We used 10 machine learning and deep learning algorithms to establish a corresponding model ... Long Short-Term Memory- LSTM, and CNNLSTM after selecting variables for DTI prediction in the ...

Five prediction models are investigated in this benchmark study, including three non-deep machine learning methods (Elastic Net, XGBoost, and SVM) and two deep learning methods (DNN and LSTM ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms ... which include the Long-Short Term Memory (LSTM) model. The more layers there are in a deep neural ...

Researchers have developed a new machine learning algorithm that excels at interpreting ... Beyond health, our method can also help scientists understand new materials, leading to smarter sensors ...