Artificial neural networks for data mining in animal sciences

Abstract Background With the advancement in technology amount of data generated, almost every sphere life, is increasing exponentially. This enormous needs new powerful tools for analysis and inference drawing. One such process mining which automated extraction hidden, previously unknown, useful knowledge from big data. Data crucial as conventional strategies cannot keep up with rapidly accumulating they are also inflexible wake challenges. Animal sciences no exception to changing scenario, especially when animal farms quickly becoming more intensive. Main body abstract The generated on growing exponentially become intensive mechanized. There thus a need utilize multidisciplinary fields like advanced statistics, artificial intelligence, machine learning, database management, revamping sciences. Artificial neural networks (ANNs) offer lot promise this direction since motivated by distributed, massively parallel computation brain. ANNs learning that multiple advantages over traditional techniques being fast, accurate, self-organizing, robust, highly accepting noisy imprecise Neural applied successfully myriad supervised unsupervised applications draw hitherto unknown inferences, patterns, relationships. have been used pattern recognition, clustering, forecasting, prediction, classification due their capacity learn data, nonparametric nature, ability generalize well. Today ANN computing major element within any tool kit. Popular methods network include feed-forward networks, feedback self-organization networks. offers distributed architecture, under scenario where readily available significant quantity. Short conclusion paper gives an overview reviews research conducted exciting area intelligence. Research many aspects Sciences has globally although there scope health, monitoring, breeding well nutrition .