Determining rich genotype for vitamin c in melons by using artificial neural networks

Abstract

In this study, we proposed determining rich genotype for vitamin c in melons by using artificial neural networks. It is known that artificial neural network is best suited and thus is the most popular choice for classification of fruit producing. We focus on melon classification among of fruit products with this method, Obtained data from 86 melon genotypes, 60 of these were used for training of the artificial neural network, 13 of these were used for testing of the training and last 13 of these were used in order to approve the training. Bayesian Regularization was used as train network. the neural network used a sigmoid feed forward network with a single hidden layer using the neural network tool for Matlab.