首页|Researchers from University of Science and Technology Beijing Publish Findings I n Machine Learning (A Prediction Model for Soil-Water Characteristic Curve Based on Machine Learning Considering Multiple Factors)

Researchers from University of Science and Technology Beijing Publish Findings I n Machine Learning (A Prediction Model for Soil-Water Characteristic Curve Based on Machine Learning Considering Multiple Factors)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Beijing, People’s Repu blic of China, by NewsRx correspondents, research stated, “Aiming atthe problem of long soil-water characteristic curve (SWCC) testing times and the difficulty of predictionaccuracy in complex environments, this paper establishes a SWCC p rediction model based on a neuralnetwork machine learning algorithm which can t ake into account the influence of multiple factors such astemperature, deformat ion, and salinity.”

University of Science and Technology Bei jingBeijingPeople’sRepublic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.13)