Investigation of dairy cattle traits by using artificial neural networks and cluster analysis

Abstract

Artificial neural networks is a method which based on artificial intelligence, has been emerged according to the working principles of the human brain nerve cells. Especially in the modelling of nonlinear systems, with the information learned through experience similarly to humans, it provides classification, pattern recognition, optimization and allows the realization of forward-looking forecasts. Artificial neural networks is very successful method that has been the subject of many studies in different disciplines. Artificial neural network studies performed in animal husbandry in recent years, often located in the literature such as prediction of yield characteristics and classification, animal breeding, quality assessment, disease diagnosis. In this study, classification according to some traits of dairy cattle using artificial neural networks and k-means method are aimed. Due to results of the research, it is determined that artificial neural networks is more successful than the k-means clustering method. The analysis of study was performed using SPSS 20.0 statistical software package and Matlab R2011b work programme. Copyright © 2015 for the individual papers by the papers' authors.