Method for predicting radio disturbance of electric transmission line by using improved BP (back propagation) neural network
A BP neural network and radio interference technology, which is applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as large prediction errors
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[0109] Example 1:
[0110] Such as Figure 1-2 As shown, the method of the invention in this example is to obtain the factors that have an influence on the radio interference Y of the transmission line as input data, including: voltage X 1 , Current X 2 , Wire diameter X 3 , Wire section X 4 , Split number X 5 , Split spacing X 6 , Soil resistivity X 7 , Wire to ground distance X 8 、The distance between the wire and the measuring point X 9 , Temperature X 10 , Humidity X 11 , Air pressure X 12 , Altitude X 13 ;
[0111] The input data contains 13 neurons with a large difference in order of magnitude. In order to ensure the equal status of all factors and speed up the convergence speed, the normalization preprocessing method is used to preprocess the input data and normalize the data to [-1 ,1] In the interval.
[0112] 1. Improve the simulated annealing algorithm
[0113] Improved annealing process steps:
[0114] 1) Given temperature t 0 , The initial state S is randomly generated, s...
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