Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation ...

Abstract: In this paper, we apply robust optimizers (i. e. the simplex method and the genetic algorithm) to rectangular ridged waveguide filter design. We extend the use of the simplex method to the ...

Abstract: In producing tempeh chips, the company has limitations such as the availability of raw materials and daily production capacity. The simplex method is used to calculate the optimal amount of ...

Optimizing faculty workload in higher education institutions is essential for enhancing faculty satisfaction, student learning, and institutional productivity. Traditional workload management ...

Your Artstor image groups were copied to Workspace. The Artstor website will be retired on Aug 1st. Science Progress (1933-) Vol. 103, No. 4, 2020 A new method for ...