首页|Studies from Texas A&M University Have Provided New Data on Machine Learning (Functional Group Analysis and Machine Learning Techniques for Mie Pre diction)

Studies from Texas A&M University Have Provided New Data on Machine Learning (Functional Group Analysis and Machine Learning Techniques for Mie Pre diction)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from College Station, Texas , by NewsRx journalists, research stated, “The successful prediction of minimum ignition energies (MIEs) for 55 flammable organic molecules has been accomplishe d through group contribution and machine learning methods. The applied technique s include least squares regression, Huber regression, and kernel ridge regressio n, with the Marrero/Gani method applied to determine structurally dependent desc riptors to uniquely characterize each molecule.”

College StationTexasUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningTexa s A&M University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.3)