2021, Vol. 1, Issue 2, Part A
Predicting the LD50 values of two different vinegars whose insecticidal effect was determined by the spraying method against Tribolium confusum Jacquelin du val (Coleoptera: Tenebrionidae) using different artificial neural networks models
Author(s): Osman Altay and Inanc Ozgen
Abstract: Tribolium confusum Jacquelin du Val pest, which has a wide spread around the world, causes significant damages to stored products. It has of great importance to combat pests such as Tribolium confusum Jacquelin du Val with alternative methods rather than using chemicals. Among these methods, carbonization-based by-products are used in pest control. For this purpose, it is important to eliminate the chemical effects by minimizing the duration of the experiment with artificial intelligence methods in order to popularize the use of wood and hazelnut vinegar, which are natural methods. In this study; artificial neural network methods were applied to predict the LD50 value by applying different doses of nut vinegars and wood vinegars whose insecticidal effect was determined by the Spraying Method against Tribolium confusum Jacquelin du Val (Coleoptera: Tenebrionidae). This study is the first to predict the LD 50 value using machine learning methods. Three different models have been proposed to predict the LD50 value with the classification methods. Multi-layer perceptron (MLP) and evolutionary-based, genetic algorithm with neural network (GANN) and evolutionary product unit-based neural network (EPUNN) methods were used to predict the LD50 value. 10-k cross-validation was used to evaluate the models designed in the study. It has been shown that the LD50 value can be predicted with the designed models. EPUNN algorithm performed 6.11 better than MLP and % 2.02 better than GANN.
Pages: 39-47 | Views: 1001 | Downloads: 578
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How to cite this article:
Osman Altay, Inanc Ozgen. Predicting the LD50 values of two different vinegars whose insecticidal effect was determined by the spraying method against Tribolium confusum Jacquelin du val (Coleoptera: Tenebrionidae) using different artificial neural networks models. Zool Entomol Lett 2021;1(2):39-47.
