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In order to explore the inherent laws of ship collision and determine the optimal timing of ship collision avoidance, a Vessel Anti-collision Forewarning method was proposed based on mean impact value (MIV) algorithm and random forest (RF) algorithm. First, the initial index system for vessel anti-collision forewarning was established from vessel static information, vessel dynamic information and...
In order to explore the inherent law of serious collisions and provide a reference to determine the result of accidents, this paper proposed a new model of vessel collision analysis and prediction based on data mining. After collecting complete vessel collision accidents reports, indexes of the severity of vessel collision were extracted and quantified. By using the method of factor analysis, the...
Presented in this paper is a predicting model for time series forecasting of stock market index with the aid of bidirectional two-dimensional locality preserving projection and radial basis function neural network. First, 30 technical indicators in securities market are selected as the input features, and then adopts a sliding window to obtain the input data of the model. Next, by using two-dimensional...
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