In order to ensure the prediction accuracy of mechanical properties, a TCMSSA-ELM model, which is a hybrid of the sparrow search algorithm (SSA) optimized by the tent chaotic mapping (TCM) algorithm ...

Linear operators and inverse problems are at the core of many of the most used algorithms in signal processing, image processing, and remote sensing. For small-scale problems, matrices can be ...

The results indicate the effectiveness of our proposed algorithms, notably Shift technology. In summary, the Shift algorithm has the highest discrimination rate, although it takes longer to execute ...

Abstract: Aiming at the complex problem of parameter tuning of fractional order PID controller, an improved sparrow search algorithm(ISSA) is proposed for parameter ...

Learn More Researchers at Alibaba Group have developed a novel approach that could dramatically reduce the cost and complexity of training AI systems to search for information, eliminating the ...

PyAutoFit is a Python based probabilistic programming language for ... model and fit it to data via a log likelihood function, using a range of non-linear search algorithms (e.g. MCMC, nested sampling ...