Michael Obach

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This study aims to enhance the discussion about the usefulness of Artificial Neural Networks and specific input relevance detection for water quality assessment. The focus is on the development of neural modelling techniques initiating further research on predictor selection for bioindication. We tested the predictability of abiotic variables and quality(More)
Article history: Received 28 September 2005 Received in revised form 28 June 2006 Accepted 22 July 2006 Abundance prediction of aquatic insects (Ephemeroptera, Plecoptera, Trichoptera=EPT) based on environmental variables (precipitation, discharge, temperature) and abundance of the parent generation with Artificial Neural Nets (ANN) was carried out(More)
Responsible research and innovation (RRI) is an approach to research and innovation governance aiming to ensure that research purpose, process and outcomes are acceptable, sustainable and even desirable. In order to achieve this ambitious aim, RRI must be relevant to research and innovation in industry. In this paper, we discuss a way of understanding and(More)
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