Abstract: Stochastic optimization methods have actively been playing a critical role in modern machine learning algorithms to deliver decent performance. While numerous works have proposed and ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

Abstract: BP network has been successfully used in the fault diagnosis of rotating machinery, however BP network's drawbacks, such as low convergence rate and its easy fall into local optima have ...

The goal is to implement, analyze, and compare various stochastic control techniques—from classical methods to modern machine learning approaches—with applications to real-world problems in portfolio ...

1 State Grid Anhui Electric Power Co., Ltd., Hefei, China 2 School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China Since renewable energy generation has strong ...