首页|Reports from Polytechnic University Torino Provide New Insights into Machine Lea rning (A Machine Learning Approach To Evaluate the Influence of Higher-order Gen eralized Variables On Shell Free Vibrations)
Reports from Polytechnic University Torino Provide New Insights into Machine Lea rning (A Machine Learning Approach To Evaluate the Influence of Higher-order Gen eralized Variables On Shell Free Vibrations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingout of Turin, Italy, by NewsRx edito rs, research stated, “This work focuses on deriving guidelines forchoosing stru ctural theories for composite shells using Convolutional Neural Networks (CNN). The Axiomatic/Asymptotic Method (AAM) is used to evaluate higher -order structur al theories’ accuracy andcomputational efficiency based on polynomial expansion s.”
TurinItalyEuropeCyborgsEmerging TechnologiesMachine LearningPolytechnic University Torino
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