{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T13:31:27Z","timestamp":1767706287852,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1109\/ijcnn.2017.7966254","type":"proceedings-article","created":{"date-parts":[[2017,7,10]],"date-time":"2017-07-10T21:41:30Z","timestamp":1499722890000},"page":"3191-3198","source":"Crossref","is-referenced-by-count":5,"title":["State space reconstruction from noisy nonlinear time series: An autoencoder-based approach"],"prefix":"10.1109","author":[{"given":"He","family":"Jiang","sequence":"first","affiliation":[]},{"given":"Haibo","family":"He","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1007\/BF00332918"},{"key":"ref11","first-page":"3","article-title":"Autoencoders, minimum description length, and helmholtz free energy","author":"hinton","year":"1994","journal-title":"Advances in neural information processing systems"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","article-title":"Reducing the dimensionality of data with neural networks","volume":"313","author":"hinton","year":"2006","journal-title":"Science"},{"year":"2016","author":"bengio","journal-title":"Deep Learning","key":"ref13"},{"key":"ref14","first-page":"3371","article-title":"Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion","volume":"11","author":"vincent","year":"2010","journal-title":"Journal of Machine Learning Research"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1175\/1520-0469(1963)020<0130:DNF>2.0.CO;2"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1103\/PhysRevA.45.3403"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.1016\/S0098-1354(97)87657-0"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1103\/PhysRevE.60.4970"},{"key":"ref19","article-title":"State space reconstruction: method of delays vs singular spectrum approach","author":"kugiumtzis","year":"1997","journal-title":"Research Report"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/18.32121"},{"doi-asserted-by":"publisher","key":"ref27","DOI":"10.1016\/0375-9601(76)90101-8"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1016\/0375-9601(89)90169-2"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1016\/0167-2789(96)00054-1"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1016\/0167-2789(94)90226-7"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1103\/PhysRevE.71.037204"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1162\/neco.1994.6.3.509"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1007\/BFb0091924","article-title":"Detecting strange attractors in turbulence","author":"takens","year":"1981","journal-title":"Dynamical Systems and Turbulence Warwick 1980"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1016\/0167-2789(86)90031-X"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1103\/PhysRevLett.45.712"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1016\/0167-2789(91)90222-U"},{"key":"ref22","first-page":"1","article-title":"Sparse autoencoder","volume":"72","author":"ng","year":"2011","journal-title":"Cs294a lecture notes"},{"key":"ref21","volume":"7","author":"kantz","year":"2004","journal-title":"Nonlinear Time Series Analysis"},{"key":"ref24","first-page":"833","article-title":"Contractive auto-encoders: Explicit invariance during feature extraction","author":"rifai","year":"2011","journal-title":"Proceedings of the 28th International Conference on Machine Learning (ICML-11)"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1145\/1390156.1390294"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1175\/1520-0469(1969)26<636:APARBN>2.0.CO;2"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.2307\/2685209"}],"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\/07966254.pdf?arnumber=7966254","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,29]],"date-time":"2019-09-29T10:27:51Z","timestamp":1569752871000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7966254\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2017.7966254","relation":{},"subject":[],"published":{"date-parts":[[2017,5]]}}}