{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T06:54:35Z","timestamp":1725692075927},"publisher-location":"Berlin, Heidelberg","reference-count":11,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642366680"},{"type":"electronic","value":"9783642366697"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-36669-7_79","type":"book-chapter","created":{"date-parts":[[2013,2,5]],"date-time":"2013-02-05T20:53:35Z","timestamp":1360097615000},"page":"647-654","source":"Crossref","is-referenced-by-count":2,"title":["Classification of Three Wine Varieties Based on ELM and PCA"],"prefix":"10.1007","author":[{"given":"Yuhui","family":"Zhao","sequence":"first","affiliation":[]},{"given":"Suxia","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Bingbing","family":"Chu","sequence":"additional","affiliation":[]},{"given":"Nan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Hu","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"4","key":"79_CR1","doi-asserted-by":"publisher","first-page":"547","DOI":"10.1016\/j.dss.2009.05.016","volume":"47","author":"P. Cortez","year":"2009","unstructured":"Cortez, P., Cerdeira, A., Almeida, F.: Modeling wine preferences by data mining from physicechemieal properties. Decision Support Systems\u00a047(4), 547\u2013553 (2009)","journal-title":"Decision Support Systems"},{"key":"79_CR2","doi-asserted-by":"crossref","unstructured":"Moreno, I., Gonzadez-Weller, D., Gutierrez, V.: Differentiation of two Canary DO red wines according to their metal content from inductively coupled plasma optical emission spectrometry and graphite furnace atomic absorption spectrometry by using pmbabilistic neural networks, Talanta (2007)","DOI":"10.1016\/j.talanta.2006.10.029"},{"key":"79_CR3","unstructured":"Daniel, G., Fl\u00e1via, C.U.K., Inar, A.: C.: Phenolic composition of South American red wines classified according to their antioxidant activity, retail price and sensory quality. In: Food Chemistry. SCI (2011)"},{"key":"79_CR4","volume-title":"Using Data Mining for Wine Quality Assessment","author":"P. Cortez","year":"2009","unstructured":"Cortez, P., Cerdeira, A., Almeida, F.: Using Data Mining for Wine Quality Assessment. Springer, Heidelberg (2009)"},{"issue":"3","key":"79_CR5","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1109\/TNN.2010.2099239","volume":"22","author":"P.S. Zheng","year":"2011","unstructured":"Zheng, P.S., Zhang, J.X., Tang, W.S.: Learning associative memories by error backpmpagation. IEEE Transactions on Neural Networks\u00a022(3), 347\u2013355 (2011)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"79_CR6","unstructured":"Wine Data Set, \n                  \n                    http:\/\/archive.ics.uci.edu\/ml\/datasets\/Wine"},{"key":"79_CR7","unstructured":"Jolliffe, I.T.: Principal Component Analysis, 2nd edn. Springer (2002)"},{"key":"79_CR8","doi-asserted-by":"crossref","unstructured":"Dietterich, T.: Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms. Neural Computation\u00a010(7) (1985)","DOI":"10.1162\/089976698300017197"},{"key":"79_CR9","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s13042-011-0019-y","volume":"2","author":"H. Guangbin","year":"2011","unstructured":"Guangbin, H., Dianhui, W., Yuan, L.: Extreme learning machines: a survey. Int. J. Mach. Learn. & Cyber.\u00a02, 107\u2013122 (2011)","journal-title":"Int. J. Mach. Learn. & Cyber."},{"key":"79_CR10","unstructured":"Huang, G.-B.: Extreme Learning Machine: Learning Without Iterative Tuning Nanyang Technological University. In: WCCI 2012, Singapore (2012)"},{"key":"79_CR11","unstructured":"Huang, G.: Extreme Learning Machines-Learning Without Iterative Tuning. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"}],"container-title":["Lecture Notes in Computer Science","Intelligent Science and Intelligent Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-36669-7_79","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,10]],"date-time":"2019-05-10T22:40:30Z","timestamp":1557528030000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-36669-7_79"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642366680","9783642366697"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-36669-7_79","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}