analytical prediction
This is a dataset: a database of radar cross sections of models; The characteristics of the data set include radar frequency, polarization mode (currently only the co-polarized VV and HH), radar Angle of sight (pitch and azimuth), and target characteristics RCS. According to these input feature information, the highly nonlinear feature rcs of the predicted target is estimated. Prediction is actually an interpolation method, which can be divided into two kinds, interpolation and extrapolation. We can try different methods according to the data set provided, please show your skills!
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In the catering industry, one major challenge is the unknown short-term demand for dish portions. Meeting these demands is important for the industry but predicting future sales is a challenging task.
This data set presents sales of food portions from a canteen in absolute numbers of dish portions per day. In particular, the columns include text-based extractions of ingredients and a date. The data set is intended to be used for forecasting/predicting the food portions on a daily level.
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The paper introduces an analytical approach to predict the no-load flux density spatial repartition of inner permanent magnet tubular-linear synchronous machines (IPM T-LSMs). It considers a trapezoidal waveform whose maximum value is predicted using a simple magnetic equivalent circuit of an elementary part of the machine. Then, the accuracy of the proposed approach is enhanced by the incorporation of a mover permeance function that accounts for the PM luxconcentrating arrangement.
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