Abstract
The solar 10.7 cm radio flux，<i>F</i><sub>10.7</sub>，a measure of the solar radio flux per unit frequency at a wavelength of 10.7 cm，is a key and serviceable index for monitoring solar activities.The accurate prediction of <i>F</i><sub>10.7</sub> is of significant importance for short-term or long-term space weather forecasting. In this study，we apply Back Propagation （BP） neural network technique to forecast the daily <i>F</i><sub>10.7</sub> based on the trial data set of <i>F</i><sub>10.7</sub> from 1980 to 2001.Results show that this technique is better than the other prediction techniques for short-term forecasting，such as Support Vector Regression method.
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