At a time when conflict and division dominate the headlines, a new study from UCLA finds remarkable similarities in how mice ...

Abstract: This paper proposes an enhanced neural network model predictive control based on the teaching learning-based optimization algorithm, for the speed control of the permanent magnet synchronous ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

Abstract: The original neural network optimization algorithm (NNA) faces issues like weak global search capability, susceptibility to local optima in the later optimization stages, and inadequate ...