首页|Reports Outline Machine Learning Study Findings from Suzhou University of Scienc e and Technology (Load Capacity Prediction of Corroded Steel Plates Reinforced w ith Adhesive and High-Strength Bolts Using a Particle Swarm Optimization Machine ...)
Reports Outline Machine Learning Study Findings from Suzhou University of Scienc e and Technology (Load Capacity Prediction of Corroded Steel Plates Reinforced w ith Adhesive and High-Strength Bolts Using a Particle Swarm Optimization Machine ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news reportingout of Suzhou, People’s Rep ublic of China, by NewsRx editors, research stated, “A machine learning (ML)mod el, optimized by the Particle Swarm Optimization (PSO) algorithm, was developed in this study topredict the shear slip load of adhesive/bolt-reinforced corrode d steel plates.”
Suzhou University of Science and Technol ogySuzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesM achine LearningParticle Swarm Optimization
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