BIOENGINEER

Deep Reinforcement Learning Selects Optimization Strategies

A new algorithm uses deep reinforcement learning to adaptively select constraint handling techniques and search strategies ...
Nature

Optimization Techniques in Deep Learning articles from across Nature Portfolio

The Caputo–Fabrizio fractional derivative in a fractional gradient descent (FGD) method is used in this paper to present a novel optimization framework for neural networks. The suggested approach ...
Phys.org

Researchers propose source mask optimization technique in computational lithography

Recently, researchers from the Shanghai Institute of Optics and Fine Mechanics (SIOM) of the Chinese Academy of Sciences have proposed a source mask optimization (SMO) technique using the covariance ...
techtarget

Caching vs. tiering: Comparing storage optimization techniques

The difference between the fastest and slowest server storage is huge. Response time for an Ethernet-connected iSCSI SAN system can be six or seven times that of RAM or 3D XPoint. What takes ...
mccormick.northwestern.edu

ELEC_ENG 395, 495: Optimization Techniques for Machine Learning and Deep Learning

A thorough understanding of Linear Algebra and Vector Calculus, and strong familiarity with the Python programming language (e.g., basic data manipulation libraries, how to construct functions and ...
newswise

General Modeling and Optimization Technique for Real-World Earth Observation Satellite Scheduling

Newswise — In the field of earth observation satellite (EOS) management, scheduling plays a vital role in maximizing the utility of EOS resources across areas like resource exploration, environmental ...