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: 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 ...