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

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

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: To improve the performance and decrease the design cost, a high-efficiency lightweight optimization method for analog-to-digital converter (ADC) systems in the Internet of Things (IoT) is ...