Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on . According to news reporting from Weihai, People's Republic of China, by NewsRx j ournalists, research stated, "Underwater sound speed is one of the most signific ant factors that affects high-accuracy underwater acoustic positioning and navig ation." Financial supporters for this research include National Natural Science Foundati on of China; Shandong Provincial Natural Science Foundation; China Post-doctoral Science Foundation; Open Foundation of The State Key Laboratory of Geo-informat ion Engineering. Our news editors obtained a quote from the research from Shandong University: "D ue to its complex temporal variation, the forecasting of the underwater sound sp eed field (SSF) becomes a challenging task. Taking advantage of machine learning methods, we propose a new method for SSF forecasting based on the least square support vector machine (LSSVM) and a multi-parameter model, aiming to enhance th e forecasting accuracy of underwater SSF with hourly resolution. We first use a matching extension method to standardize profile data and train the LSSVM with t he parameters of observation time, temperature, salinity, and depth. We then emp loy radial basis function kernels to construct the forecasting model of SSF."
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