首页|Data on Machine Learning Discussed by Researchers at CSIR NationalPhysics Laboratory (Comparison of Analytical and Machine Learning Models In Traffic Noise Modeling and Predictions)
Data on Machine Learning Discussed by Researchers at CSIR NationalPhysics Laboratory (Comparison of Analytical and Machine Learning Models In Traffic Noise Modeling and Predictions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting from NewDelhi, India, by NewsRx journalists, research stated, “This paper illustrates the applications of analyticalmodels and machine learning methods to predict the equivalent continuous sound pressure levels (LAeq)along with 10-percentile exceeded sound levels (L10) generated due to road traffic noise based on rigorousnoise monitoring conducted at more than 200 locations in Delhi-NCR. Using the measured data, regression,back-propagation neural network, and machine learning models were developed, validated, and tested.”
New DelhiIndiaAsiaCyborgsEmerging TechnologiesMachine LearningCSIR National Physics Laboratory
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