Ionospheric parameters approximation based on wavelet transformation and connectionist combination
Method of ionospheric data approximation is given. It is based on construction combination of multiple scale wavelet transformation and connectionist which allows to study data structure, to forecast and to reveal anomalous features in ionosphere during solar activity. A basic wavelet function which provides lowest data approximation error is defined. Connectionist software systems are made. Method effectiveness is proved statistically.