{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T08:12:32Z","timestamp":1725869552402},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319414379"},{"type":"electronic","value":"9783319414386"}],"license":[{"start":{"date-parts":[[2016,10,29]],"date-time":"2016-10-29T00:00:00Z","timestamp":1477699200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-41438-6_4","type":"book-chapter","created":{"date-parts":[[2016,10,28]],"date-time":"2016-10-28T07:26:05Z","timestamp":1477639565000},"page":"45-64","source":"Crossref","is-referenced-by-count":0,"title":["Time Accounting Artificial Neural Networks for Biochemical Process Models"],"prefix":"10.1007","author":[{"given":"Petia","family":"Georgieva","sequence":"first","affiliation":[]},{"given":"Luis Alberto Paz","family":"Su\u00e1rez","sequence":"additional","affiliation":[]},{"given":"Sebasti\u00e3o Feyo","family":"de Azevedo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,10,29]]},"reference":[{"issue":"3","key":"4_CR1","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1007\/s11063-007-9054-9","volume":"26","author":"EA Antonelo","year":"2007","unstructured":"Antonelo, E.A., Schrauwen, B., Campenhout, J.V.: Generative modeling of autonomous robots and their environments using reservoir computing. Neural Process. Lett. 26(3), 233\u2013249 (2007)","journal-title":"Neural Process. Lett."},{"key":"4_CR2","volume-title":"On-line Estimation and Adaptive Control of Bioreactors","author":"G Bastin","year":"1990","unstructured":"Bastin, G., Dochain, D.: On-line Estimation and Adaptive Control of Bioreactors. Elsevier Science Publishers, Amsterdam (1990)"},{"key":"4_CR3","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer (2006)"},{"key":"4_CR4","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/0025-5564(95)00048-8","volume":"132","author":"L Chen","year":"1996","unstructured":"Chen, L., Bastin, G.: Structural identifiability of the yeals coefficients in bioprocess models when the reaction rates are unknown. Math. Biosci. 132, 35\u201367 (1996)","journal-title":"Math. Biosci."},{"key":"4_CR5","doi-asserted-by":"crossref","first-page":"3699","DOI":"10.1016\/S0009-2509(03)00260-4","volume":"58","author":"P Georgieva","year":"2003","unstructured":"Georgieva, P., Meireles, M.J., Feyo de Azevedo, S.: Knowledge based hybrid modeling of a batch crystallization when accounting for nucleation, growth and agglomeration phenomena. Chem. Eng. Sci. 58, 3699\u20133707 (2003)","journal-title":"Chem. Eng. Sci."},{"key":"4_CR6","volume-title":"Neural Network Design","author":"MT Hagan","year":"1996","unstructured":"Hagan, M.T., Demuth, H.B., Beale, M.H.: Neural Network Design. PWS Publishing, Boston, MA (1996)"},{"key":"4_CR7","volume-title":"Neural Networks: A Comprehensive Foundation","author":"S Haykin","year":"1999","unstructured":"Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice Hall, NJ (1999)"},{"key":"4_CR8","unstructured":"Jaeger, H.: The \u201cecho state\u201d approach to analysing and training recurrent neural networks. Technical Report GMD Report 148, German National Research Center for Information Technology (2001)"},{"issue":"11","key":"4_CR9","doi-asserted-by":"crossref","first-page":"2531","DOI":"10.1162\/089976602760407955","volume":"14","author":"W Maass","year":"2002","unstructured":"Maass, W., Natschlager, T., Markram, H.: Real-time computing without stable states: a new framework for neural computation based on perturbations. Neural Comput. 14(11), 2531\u20132560 (2002)","journal-title":"Neural Comput."},{"key":"4_CR10","doi-asserted-by":"crossref","unstructured":"Mandic D.P., Chambers, J.A.: Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability (Adaptive & Learning Systems for Signal Processing, Communications & Control). Wiley (2001)","DOI":"10.1002\/047084535X"},{"key":"4_CR11","unstructured":"Noykove, N., Muller, T.G., Gylenberg, M., Timmer J.: Quantitative analysis of anaerobic wastewater treatment processes: identifiably and parameter estimation. Biotechnol. Bioeng. 78(1), 91\u2013103 (2002)"},{"key":"4_CR12","first-page":"15","volume":"18","author":"C Oliveira","year":"2009","unstructured":"Oliveira, C., Georgieva, P., Rocha, F., Feyo de Azevedo, S.: Artificial Neural Networks for Modeling in Reaction Process Systems, Neural Computing & Applications. Springer 18, 15\u201324 (2009)","journal-title":"Springer"},{"key":"4_CR13","unstructured":"Principe, J.C., Euliano, N.R., Lefebvre, W.C.: Neural and Adaptive Systems: Fundamentals Through Simulations. Wiley, New York (2000)"},{"key":"4_CR14","doi-asserted-by":"crossref","unstructured":"Steil, J.J.:. Backpropagation-Decorrelation: Online recurrent learning with O(N) complexity. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN), vol. 1, pp. 843\u2013848","DOI":"10.1109\/IJCNN.2004.1380039"},{"key":"4_CR15","volume-title":"Identification of Parametric Models from Experimental Data","author":"E Walter","year":"1997","unstructured":"Walter, E., Pronzato, L.: Identification of Parametric Models from Experimental Data. Springer, London (1997)"}],"container-title":["Studies in Computational Intelligence","Recent Contributions in Intelligent Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-41438-6_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T22:19:52Z","timestamp":1498342792000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-41438-6_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,29]]},"ISBN":["9783319414379","9783319414386"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-41438-6_4","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2016,10,29]]}}}