o:1645 BEING SMART IN A MULTI-STRESSED WORLD - PREDICTING THE STRESS IMPACT ON Lemna minor L., Ceratophyllum demersum L. AND Mentha aquatica L. ALONG THE DANUBE RIVER USING ANN TRAINED ALGORITHMS en From practical standpoint, ANNs are a parallel processing systems that consists of simple processing units, neurons, and directed, weighted connections between them. Artificial neural networks (ANNs) can be characterized as computational models, inspired by information processing capabilities of biological neural networks. They can be used for modeling complex interactions in natural systems. In this study a feed - forward artificial neural network with backpropagation training algorithm is used to extract relationships between land use and three selected aquatic Lemna minor L. and Ceratophyllum demersum and semiaquatic Mentha aquatica L species. 2023-04-11T11:52:41.452Z 44 no 46 Ivana Krtolica Institut za veštačku inteligenciju 0000-0002-1816-253X Đorđe Obradović person Dušanka Cvijanović person 0000-0001-8732-1269 Aleksandar Kaplar person Milica Živković person Ivana Teodorović person 0000-0001-8235-6171 Mirjana Vojinović-Miloradov person 0000-0001-8737-7545 person 2016 application/pdf 123502 https://unilib.phaidrabg.rs/o:1645 no yes 1 70 92000004 BEING SMART IN A MULTI-STRESSED WORLD - PREDICTING THE STRESS IMPACT ON Lemna minor L., Ceratophyllum demersum L. AND Mentha aquatica L. ALONG THE DANUBE RIVER USING ANN TRAINED ALGORITHMS 2016