首页|New Machine Learning Study Results from Northwestern Polytechnic University Described (An Efficient Machine Learning-based Model for Predicting the Stress-strain Relationships of Thermoplastic Polymers With Limited Testing Data)
New Machine Learning Study Results from Northwestern Polytechnic University Described (An Efficient Machine Learning-based Model for Predicting the Stress-strain Relationships of Thermoplastic Polymers With Limited Testing Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “Thermoplastic polymers used in aeronautical structures such as poly-ether-ether-ketone (PEEK) usually exhibit nonlinear stress-strain relationships, which can be usually pre dicted by the physical and phenomenological models. For different thermoplastic polymers, however, existing models may encounter difficulties in reasonably predicting the stress-strain relationships.”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNorthwestern Polytechnic University
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NSTL
