Comparison and validation of artificial intelligent techniques to estimate intestinal broiler microflora

Model of Combined Ipt and NNLVQ for Classification of Healthy and Sick Broilers in Terms of Avian Influenza

“…The NN interprets the raw input by labeling or clustering with a kind of machine perception. It helps to group unlabeled data according to similarities between sample inputs and classify data when they have a data set labeled for training [2], [3], [13], [4]- [8], [10]- [12]. The modeling and training of the NNLVQ for the classification of broilers in terms of avian influenza are described below.…”

“…The estimated weights and manual measurement results were shown to be very close to each other. In [4], different artificial intelligence techniques (AITs) were used to estimate intestinal broiler microflora. The results show that the Enterobacteriaceae population was predicted better than the lactic acid bacteria with the proposed models.…”