id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_wm5p5jfotjc4dml76zoeqhdwnu	C. Fernández	Neural networks for animal science applications: Two case studies	2006	7	.pdf	application/pdf	4755	462	69	Artificial neural networks have shown to be a powerful tool for system modelling in a wide range of applications. neural network applications to intelligent data analysis in the field of animal science. The first task is related to the prediction of weekly milk production in goat flocks, which includes a knowledge discovery stage in order to analyse the relative relevance of the different variables. used to analyse different livestock surveys by using self-organizing maps and the adaptive resonance theory, thus obtaining a qualitative Achieved results show the usefulness of neural networks in two animal science applications. Keywords: Neural networks; Multilayer perceptron; Self-organizing map; Animal science prediction, whereas the neural models used for clustering are the prediction model, and a validation set (10 goats) in order to data sets were similar with regard to the diet followed by goats ART clustering of goat farms ART clustering of goat farms	./cache/work_wm5p5jfotjc4dml76zoeqhdwnu.pdf	./txt/work_wm5p5jfotjc4dml76zoeqhdwnu.txt