Simulation results demonstrate that the proposed DRL-based utility optimization algorithm achieves faster inference speed compared to deep Q network and effectively improves the task processing rate, ...

In response to the issues of abnormal bed temperature fluctuations and inefficient combustion that occur during the flexible operation of the circulating fluidized bed (CFB) boiler combustion system, ...

For example, Reddy et al. [17] adopted the arithmetic optimization algorithm with improved math optimizer accelerated Function (IMOA-AOA) to optimize and adjust the parameters of deep learning methods ...

This manuscript designs an Archimedes Optimization Algorithm with Deep Learning Assisted Content-Based Image Retrieval in Healthcare Sector (AOADL-CBIRH) technique. The AOADL-CBIRH technique intends ...

Learn what AdaGrad optimization is, how it works, and how to use it for deep learning. Discover its benefits, limitations, and alternatives.

MicroAlgo Inc.'sBitcoin trading prediction algorithm based on machine learning and technical indicators plays a crucial role in the construction of the technical foundation with data processing ...