{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,2]],"date-time":"2022-04-02T14:01:22Z","timestamp":1648908082382},"reference-count":10,"publisher":"Elsevier","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1016\/s1570-7946(10)28171-3","type":"book-chapter","created":{"date-parts":[[2010,5,31]],"date-time":"2010-05-31T06:21:45Z","timestamp":1275286905000},"page":"1021-1026","source":"Crossref","is-referenced-by-count":0,"title":["Hybrid semi-parametric modeling of biological systems: Application to spectroscopic data for the estimation of concentrations"],"prefix":"10.1016","author":[{"given":"M.","family":"von Stosch","sequence":"first","affiliation":[]},{"given":"R.","family":"Oliveira","sequence":"additional","affiliation":[]},{"given":"J.","family":"Peres","sequence":"additional","affiliation":[]},{"given":"S.","family":"Feyo de Azevedo","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/S1570-7946(10)28171-3_bb0001","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/S0169-7439(00)00083-6","article-title":"Non-linear dynamic projection to latent structures modelling","volume":"52","author":"Baffi","year":"2000","journal-title":"Chemom. Intell. Lab. Syst."},{"key":"10.1016\/S1570-7946(10)28171-3_bb0002","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1016\/j.compchemeng.2004.02.014","article-title":"Combining first principles modelling and artificial neural networks: a general framework","volume":"28","author":"Oliveira","year":"2004","journal-title":"Computers & Chemical Engineering"},{"key":"10.1016\/S1570-7946(10)28171-3_bb0003","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.bej.2007.09.003","article-title":"Bioprocess hybrid parametric\/nonparametric modelling based on the concept of mixture of experts","volume":"39","author":"Peres","year":"2008","journal-title":"Biochemical Eng. J."},{"key":"10.1016\/S1570-7946(10)28171-3_bb0004","first-page":"395","article-title":"Non-linear PLS modelling using neural networks","volume":"23","author":"Qin","year":"1992","journal-title":"Computers & Chemical Engineering"},{"issue":"1","key":"10.1016\/S1570-7946(10)28171-3_bb0005","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1109\/72.105425","article-title":"Comparison of four neural net learning methods for dynamic system identification","volume":"3","author":"Psichogios","year":"1992","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"2","key":"10.1016\/S1570-7946(10)28171-3_bb0006","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.chemolab.2008.07.009","article-title":"Assessment of near infrared and \u201csoftware sensor\u201d for biomass monitoring and control","volume":"94","author":"Soons","year":"2008","journal-title":"Chemometrics and Laboratory Systems"},{"issue":"7\u20138","key":"10.1016\/S1570-7946(10)28171-3_bb0007","first-page":"621","article-title":"Observer design and tuning for biomass growth and k(L)a using online and offline measurements","volume":"18","author":"Soons","year":"2008","journal-title":"J. of Processcontrol"},{"key":"10.1016\/S1570-7946(10)28171-3_bb0008","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1186\/1471-2105-8-30","article-title":"Hybrid elementary flux analysis\/nonparametric modelling: application for bioprocess control","volume":"8","author":"Teixeira","year":"2007","journal-title":"BMC Bioinformatics"},{"key":"10.1016\/S1570-7946(10)28171-3_bb0009","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1016\/j.jbiotec.2007.08.020","article-title":"Hybrid semi-parametric mathematical systems: Bridging the gap between systems biology and process engineering","volume":"132","author":"Teixeira","year":"2007","journal-title":"J. of Biotechnology"},{"issue":"8","key":"10.1016\/S1570-7946(10)28171-3_bb0010","doi-asserted-by":"crossref","first-page":"1328","DOI":"10.1002\/aic.690400806","article-title":"Modelling chemical processes using prior knowledge and neural networks","volume":"40","author":"Thompson","year":"1994","journal-title":"AIChE Journal"}],"container-title":["Computer Aided Chemical Engineering","20th European Symposium on Computer Aided Process Engineering"],"original-title":[],"deposited":{"date-parts":[[2018,12,10]],"date-time":"2018-12-10T20:27:17Z","timestamp":1544473637000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1570794610281713"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1016\/s1570-7946(10)28171-3","relation":{},"ISSN":["1570-7946"],"issn-type":[{"value":"1570-7946","type":"print"}],"subject":[],"published":{"date-parts":[[2010]]}}}