Automated Identification of Mosquito (Diptera :Culicidae) Wingbeat Frequencies by Artificial Neural Network
Yao Qing · Sichuan Nongye Daxue xuebao · 2005
The wingbeat waveforms of five species of mosquitoes were recorded by a photosensor and aWfRer system.Wingbeat waveforms of the result showthat the mosquitoesis analogical sine wave.Al-thoughtheir wingbeat frequencies are overlapped with each other,the diversities of their mean wing-beat frequencies are obvious.Thus,it is possible to construct artificial neural network for classifyingthe wingbeat frequencies of five species of mosquitoes.Artificial neural network classifiers are respec-tively built by wingbeat waveformti me series and wingbeat frequencies.The most accurate classifiertestedis an artificial neural network by using variable of wingbeat frequency.The accuracy is average72.67 %and highest 89 %.