{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T09:58:29Z","timestamp":1729677509439,"version":"3.28.0"},"reference-count":29,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1109\/ijcnn.2017.7966421","type":"proceedings-article","created":{"date-parts":[[2017,7,10]],"date-time":"2017-07-10T21:41:30Z","timestamp":1499722890000},"page":"4459-4466","source":"Crossref","is-referenced-by-count":5,"title":["Recurrent neural networks and exponential PAA for virtual marine sensors"],"prefix":"10.1109","author":[{"given":"Stefan","family":"Oehmcke","sequence":"first","affiliation":[]},{"given":"Oliver","family":"Zielinski","sequence":"additional","affiliation":[]},{"given":"Oliver","family":"Kramer","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5120\/1395-1881"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.4271\/980516"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1111\/j.2517-6161.1964.tb00553.x","article-title":"An analysis of transformations","author":"box","year":"1964","journal-title":"Journal of the Royal Statistical Society Series B (Methodological)"},{"key":"ref13","article-title":"Forecasting: Principles and practice","author":"hyndman","year":"2014","journal-title":"Otexts"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2971\/jeos.2014.14020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727549"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/568518.568520"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/PL00011669"},{"key":"ref19","first-page":"i","article-title":"The exponentially weighted moving average","volume":"18","author":"hunter","year":"1986","journal-title":"Journal of Quality Technology (JQT)"},{"key":"ref28","article-title":"An overview of gradient descent optimization algorithms","volume":"abs 1609 4747","author":"ruder","year":"2016","journal-title":"CoRR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IPSN.2005.1440895"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1007\/978-3-642-35289-8_26","article-title":"Practical recommendations for gradient-based training of deep architectures","author":"bengio","year":"2012","journal-title":"Neural Networks Tricks of the Trade"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s120201468"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2749429"},{"journal-title":"TensorFlow Large-Scale Machine Learning on Heterogeneous Systems","year":"2015","author":"abadi","key":"ref29"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-39159-0_2"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24489-1_24"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10236-009-0183-8"},{"journal-title":"Continuous Emission Monitoring","year":"2000","author":"jahnke","key":"ref2"},{"key":"ref9","article-title":"Empirical ensemble-based virtual sensing-a novel approach to oil-in-water monitoring","author":"roverso","year":"2009","journal-title":"Oil-in-Water Monitoring Workshop (T&#x00DC;V NEL)"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/2015WR018318"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref21","first-page":"190","article-title":"Inferring algorithmic patterns with stack-augmented recurrent nets","volume":"28","author":"joulin","year":"2015","journal-title":"Advances in Neural Information Processing Systems Annual Conference on Neural Information Processing Systems (NIPS)"},{"key":"ref24","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"key":"ref23","first-page":"799","article-title":"Bidirectional LSTM networks for improved phoneme classification and recognition","author":"graves","year":"2005","journal-title":"Artificial Neural Networks Formal Models and Their Applications - ICANN"},{"key":"ref26","article-title":"Adam: A method for stochastic optimization","volume":"abs 1412 6980","author":"kingma","year":"2014","journal-title":"CoRR"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICFHR.2014.55"}],"event":{"name":"2017 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2017,5,14]]},"location":"Anchorage, AK, USA","end":{"date-parts":[[2017,5,19]]}},"container-title":["2017 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7958416\/7965814\/07966421.pdf?arnumber=7966421","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,29]],"date-time":"2019-09-29T10:30:15Z","timestamp":1569753015000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7966421\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2017.7966421","relation":{},"subject":[],"published":{"date-parts":[[2017,5]]}}}