首页|Report Summarizes Machine Learning Study Findings from Dalian University of Technology (Machine Learning-driven Optimization Design of Hydrogel-based Negative Hydration Expansion Metamaterials)

Report Summarizes Machine Learning Study Findings from Dalian University of Technology (Machine Learning-driven Optimization Design of Hydrogel-based Negative Hydration Expansion Metamaterials)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating in Dalian, People’s Republic of China, by NewsRx journalists, research stated,“Hydrogel-based negative hydration expansion (NHE) metamaterials are composite structures composed ofresponsive hydrogels and polymers, and their properties depend on their unique structures. In this paper,an optimization method based on the combination of the back-propagation neural network (BPNN) andthe multi population genetic algorithm (MPGA) is developed to rapidly design isotropic and anisotropichydrogel-based metamaterials with specific NHE effects.”

DalianPeople’s Republic of ChinaAsiaAlcoholsCyborgsEmerging TechnologiesHydrogelMachine LearningOrganic ChemicalsPolyethylene GlycolsDalian University of Technology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jan.1)