66results about How to "Accurate and Effective Prediction" patented technology

The invention discloses a hydroelectric generation prediction method based on an extreme learning machine. The method comprises the following steps: obtaining parameter data information from a hydroelectric generation system and preprocessing data; dividing the data into two mutually exclusive parts, performing data training on one part, and performing data testing on the other part; acquiring training data, and establishing a model by adopting the training data; performing module training by adopting methods of cross validation, grid search and model evaluation and obtaining an optimal model;using the trained optimal ELM model to predict test data, acquiring and outputting a prediction result, and ELM being an extreme learning machine model. Through the method, higher learning speed andbetter generalization ability are displayed; the hydroelectric generation is more accurately and effectively predicted, the cost is reduced, and the learning rate is improved.

The invention relates to a network public sentiment hotspot prediction and analysis method, which comprises the following steps: step (1) inputting public sentiment information collected in time into a hotspot public sentiment prediction model based on fast content identification; dividing the public sentiment information into hotspot public sentiment and ordinary public sentiment according to the processing results, and sending the pre-warning for the hotspot public sentiment; step (2), inputting the ordinary public sentiment into a hotspot prediction model based on numerical value expression, carrying out numerical value pattern matching on the input ordinary public sentiment information from the participating people number distribution and the time state distribution; and detecting thehotspot public sentiment information which is omitted in the detection in the first step; step 3, analyzing the hotspot public sentiment; and step 4, predicting the hotspot public sentiment. The invention combines the contents and the numerical values, and belongs to the integrated public sentiment hotspot monitoring method with the advantages of short prediction time and accurate prediction effect.

The invention provides a spaceborne auxiliary GPS method based on dynamic orbit extrapolation. The spaceborne auxiliary GPS method comprises the steps that 1) orbit position extrapolation is performed according to a low-earth-orbit satellite dynamic model and the latest positioning result of a spaceborne GPS receiver under a J2000.0 coordinate system so that the extrapolation position of the spaceborne GPS receiver is acquired and converted to an ECEF coordinate system; 2) the positions of all GPS satellites under the ECEF coordinate system are acquired according to effective GPS ephemeris calculation; 3) the pitch angle of all the GPS satellites to the spaceborne GPS receiver at the same epoch time is calculated, whether each GPS satellite is visible to the spaceborne GPS receiver is judged, all the GPS satellites are ranked according to the probability of visibility, and a GPS satellite PRN number list after ranking is acquired; and 4) GPS satellite priority configuration is performed on the capture channel of the spaceborne GPS receiver according to the GPS satellite PRN number list. The number of times of capturing and searching of the spaceborne GPS receiver is reduced so that positioning speed is enhanced.