EXAMINATION OF ELECTRIC FIELD EFFECTS ON LIPID PEROXIDATION AND ANTIOXIDANT ENZYMES BY USING MULTILAYER PERCEPTRON NEURAL NETWORK

Year 2005, Volume: 18 Issue: 1, 27 - 37, 17.08.2010

Göknur Güler Fırat Hardalaç Aysel Arıcıoğlu

Abstract

ABSTRACT

The aim of this study is to determine lipid peroxidation and antioxidant enzyme levels in liver and lung tissues of guinea pigs which were exposed to different intensities of electric fields and the experimental results are applied to neural networks as learning data and the training of the feed forward neural network is realized. At the end of this training; without applying electric field to tissues, the determination of the effects of the electric field on tissues by using computer is predicted by the neural network.

 

Electric potentials were applied to the copper plates mounted on the wooden boxes to produce electric fields with magnitudes of 1.8 kV/m, 1.35 kV/m, 1 kV/m, 0.8 kV/m and 0.3 kV/m. Male white guinea pigs (150-200 g) were continuously exposed to electric fields for 8 hours per day over 3 days. A total of 100 guinea pigs were exposed to electric fields. Each group of 20 guinea pigs was exposed to the electric field from 9 a.m. to 5 p.m. Twenty guinea pigs were used as controls. The effect of electric field exposure on malondialdehyde (MDA) and superoxide dismutase (SOD) levels was investigated for different intensities. After the experiments, the prediction of the neural network is averagely 97.27% - 99.51 %.

 

Those percentiles of the prediction performance of the neural network belonging to experiment results of electric field were so high; this fact shows that the feed forward neural networks which are used many fields could be applied in the studies of electric field too.

Keywords

Key Words: Electric field, Liver, Lung, Lipid peroxidation, Antioxidant enzyme, Artificial Neural Network

NETWORK

Abstract

Bu çalışmada farklı şiddetlerde uygulanan elektrik alanların karaciğer ve akciğer dokularında lipid peroksidasyon ve antioksidan enzimler üzerindeki etkileri kobaylarda incelendi ve elde edilen deney sonuçları sinir ağlarına öğrenme verisi olarak uygulanıp ileri beslemeli sinir ağının eğitimi gerçekleştirildi. Bu eğitim sonucu; dokulara elektrik alan uygulanmadan, bilgisayar ortamında elektrik alanın dokulara etkisinin belirlenmesi sinir ağı ile tahmin edildi. Tahta kafesler üzerine monte edilmiş olan bakır plakalara potansiyel fark uygulanarak 1.8 kV/m, 1.35 kV/m, 1 kV/m, 0.8 kV/m ve 0.3 kV/m şiddetinde elektrik alanlar oluşturuldu. Her grupta 20 adet kobay olmak üzere toplam 100 adet erkek beyaz kobay (150-200 gr) günde 8 saat olmak üzere üç gün boyunca elektrik alanlara sürekli olarak maruz bırakıldı. Elektrik alan uygulama işlemine saat 900’da başlanıp 1700’de son verildi. 20 adet kobay ise kontrol grubunu oluşturdu. Farklı şiddetlerde uygulanan elektrik alanların malondialdehit ( MDA ) ve superoksit dismutaz ( SOD ) seviyelerine etkisi araştırıldı. Yapılan deneyler sonucu sinir ağının tahmini; ortalama %97.27 - % 99.51 olarak tespit edildi. Elektrik alan deney sonuçlarına ait sinir ağı tahmin performansından elde edilen verilerin yüzde değerlerinin yüksek doğrulukta bulunması; ileri beslemeli sinir ağlarının pek çok uygulama alanında kullanıldığı gibi elektrik alan çalışmalarında da uygulanabileceğini göstermiştir

Keywords

Elektrik alan, Karaciğer, Akciğer, Lipid peroksidasyon, Antioksidan enzim, Yapay sinir ağları

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