{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T03:40:06Z","timestamp":1740541206023,"version":"3.38.0"},"publisher-location":"Berlin, Heidelberg","reference-count":4,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540259145"},{"type":"electronic","value":"9783540320692"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11427469_87","type":"book-chapter","created":{"date-parts":[[2010,9,27]],"date-time":"2010-09-27T19:29:48Z","timestamp":1285615788000},"page":"544-549","source":"Crossref","is-referenced-by-count":1,"title":["Detecting Sensor Faults for a Chemical Reactor Rig via Adaptive Neural Network Model"],"prefix":"10.1007","author":[{"given":"Ding-Li","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dingwen","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"87_CR1","doi-asserted-by":"crossref","unstructured":"Patton, R.J., Chen, J., Siew, T.M.: Fault Diagnosis in Non-Linear Dynamic Systems Via Neural Networks. In: Proc. IEE Int. Conf. Control 1994, Coventry, U.K., March 21-24, vol.\u00a02, pp. 1346\u20131351 (1994)","DOI":"10.1049\/cp:19940332"},{"key":"87_CR2","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1109\/9.250491","volume":"38","author":"J.E. Bobrow","year":"1993","unstructured":"Bobrow, J.E., Murray, W.: An Algorithm for RLS Identification of Parameters that Vary Quickly with Time. IEEE Trans. Automatic Control\u00a038, 351\u2013354 (1993)","journal-title":"IEEE Trans. Automatic Control"},{"key":"87_CR3","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1023\/A:1009622226531","volume":"5","author":"D.L. Yu","year":"1997","unstructured":"Yu, D.L., Gomm, J.B., Williams, D.: A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks. Neural Processing Letters\u00a05, 167\u2013176 (1997)","journal-title":"Neural Processing Letters"},{"key":"87_CR4","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/S0952-1976(99)00046-9","volume":"13","author":"D.L. Yu","year":"2000","unstructured":"Yu, D.L., Gomm, J.B., Williams, D.: An Input Structure Selection Method for Neural Modelling and Its Application to a Chemical Process. Engineering Application of Artificial Intelligence\u00a013, 15\u201323 (2000)","journal-title":"Engineering Application of Artificial Intelligence"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks \u2013 ISNN 2005"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11427469_87.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T02:57:19Z","timestamp":1740538639000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11427469_87"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540259145","9783540320692"],"references-count":4,"URL":"https:\/\/doi.org\/10.1007\/11427469_87","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}