首页|Study Data from Dalian University of Technology Provide New Insights into Machin e Learning (A Physical Simulation-machine Learning Model for Optimal Process Sch emes In Laser-based Directed Energy Deposition Process)
Study Data from Dalian University of Technology Provide New Insights into Machin e Learning (A Physical Simulation-machine Learning Model for Optimal Process Sch emes In Laser-based Directed Energy Deposition Process)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting from Dalian, People's Republic of China, by NewsRx journalists, research stated, "The major challenge faced is the defin ition of optimal process variables for rich quality of fabricated parts in laser -based directed energy deposition (DED-LB) processes. However, predicting the op timal process scheme using machine learning models is still challenging owing to the need for a large amount of training experimental data with high costs in DE D-LB." Financial supporters for this research include National Key R & D Program of China, National Natural Science Foundation of China (NSFC), University -Industry Collaborative Education Program of China, Liaoning Provincial Natura l Science Foundation of China, Fundamental Research Funds for the Central Univer sities.
DalianPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningDalian University of Technol ogy
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