首页|Indian Institute of Technology Guwahati Researcher Updates Knowledge of Machine Learning (Performance assessment of rainfall forecasting models for urban Guwaha ti City using machine learning techniques and singular spectrum analysis)

Indian Institute of Technology Guwahati Researcher Updates Knowledge of Machine Learning (Performance assessment of rainfall forecasting models for urban Guwaha ti City using machine learning techniques and singular spectrum analysis)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news originating from Assam, India, by NewsR x correspondents, research stated, "Rainfall forecasting is pivotal in improving the lead time for issuing flood warnings and flood management." Funders for this research include Prime Minister's Research Fellowship, Ministry of Education. The news correspondents obtained a quote from the research from Indian Institute of Technology Guwahati: "Machine learning (ML) models are popular as they can e ffectively manage extensive data and non-stationarity of the data series with im proved performance and cost-effective solutions. However, more studies are requi red to understand the dynamic characteristics of rainfall. This study proposes a hybrid model and demonstrates its efficiency in improving the daily rainfall fo recast. Singular spectrum analysis (SSA) was used as a data pre-processing techn ique (successfully removing and identifying the nature of noise) and coupled wit h ML models (artificial neural network (ANN) and support vector machine (SVM)) i mproving daily scale forecast. Since the current response of the hydrological sy stem depends on previous responses, rainfall at the next time step was derived w ith the previous 2, 3, 5 and 7 days of rainfall. Study shows that the first eige n vector derived through SSA is the trend component which has a maximum contribu tion of 18.75%, suggesting it can explain 18.75% of t he given rainfall series."

Indian Institute of Technology GuwahatiAssamIndiaAsiaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.3)