{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T05:19:34Z","timestamp":1740028774628,"version":"3.37.3"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2010,3,30]],"date-time":"2010-03-30T00:00:00Z","timestamp":1269907200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cogn Comput"],"published-print":{"date-parts":[[2010,9]]},"DOI":"10.1007\/s12559-010-9036-5","type":"journal-article","created":{"date-parts":[[2010,3,29]],"date-time":"2010-03-29T18:03:44Z","timestamp":1269885824000},"page":"142-150","source":"Crossref","is-referenced-by-count":1,"title":["Phoneme Recognition by Means of a Growing Hierarchical Recurrent Self-Organizing Model Based on Locally Adapting Neighborhood Radii"],"prefix":"10.1007","volume":"2","author":[{"given":"Chiraz","family":"Jlassi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Najet","family":"Arous","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Noureddine","family":"Ellouze","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2010,3,30]]},"reference":[{"issue":"1\u20133","key":"9036_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0925-2312(98)00030-7","volume":"21","author":"T Kohonen","year":"1998","unstructured":"Kohonen T. The self-organizing map. Neurocomputing 1998;21(1\u20133):1\u20136.","journal-title":"Neurocomputing"},{"key":"9036_CR2","doi-asserted-by":"crossref","unstructured":"Kohonen T, Kaski S, Lagus K, Honkela T. Very large twolevel SOM for the browsing of newsgroups In: Proceedings of the international conference on neural networks (ICANN\u201996), Bochum, Germany, pp 269\u2013274; 1996.","DOI":"10.1007\/3-540-61510-5_48"},{"key":"9036_CR3","doi-asserted-by":"crossref","unstructured":"Koikkalainen P, Oja E. Self-organizing hierarchical feature maps. In: Proceedings of the international joint conference on neural networks (IJCNN 1990), San Diego, CA; 1990.","DOI":"10.1109\/IJCNN.1990.137727"},{"key":"9036_CR4","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.1016\/S0167-8655(00)00082-9","volume":"21","author":"JT Laaksonen","year":"2000","unstructured":"Laaksonen JT, Koskela JM, Laakso SP, Oja E. PicSOM\u2014content-based image retrieval with self-organizing maps. Pattern Recogn Lett. 2000;21:1199\u2013207.","journal-title":"Pattern Recogn Lett"},{"issue":"2\u20133","key":"9036_CR5","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1007\/PL00014575","volume":"4","author":"J Laaksonen","year":"2001","unstructured":"Laaksonen J, Koskela M, Laakso S, Oja E. Self-organizing maps as a relevance feedback technique in content-based image retrieval. Pattern Anal Appl. 2001;4(2\u20133):140\u2013152.","journal-title":"Pattern Anal Appl"},{"key":"9036_CR6","unstructured":"Luttrell SP. Hierarchical self-organizing networks. In: Proceedings of the international conference on neural networks (ICANN\u201989), 2\u20136, London; 1989."},{"key":"9036_CR7","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/BF00118594","volume":"2","author":"J Lampinen","year":"1992","unstructured":"Lampinen J, Oja E. Clustering properties of hierarchical self-organizing maps. J Math Imaging Vis. 1992;2:261\u201372.","journal-title":"J Math Imaging Vis"},{"key":"9036_CR8","doi-asserted-by":"crossref","unstructured":"Dittenbach M, Rauber A, Polzlbauer. Investigation of alternative strategies and quality measures for controlling the growth process of the growing hierarchical self-organizing map. In: Proceeding of the international joint conference on neural networks (IJCNN2005), pp 2954\u20132959; 2005.","DOI":"10.1109\/IJCNN.2005.1556395"},{"key":"9036_CR9","doi-asserted-by":"crossref","unstructured":"Dittenbach M, Merkl D, Rauber A. The growing hierarchical self-organizing map In: Proceedings of the international joint conference on neural networks (IJCNN), 6, pp 15\u201319; 2000.","DOI":"10.1109\/IJCNN.2000.859366"},{"issue":"3","key":"9036_CR10","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s11063-004-2156-8","volume":"20","author":"J Pakkanen","year":"2004","unstructured":"Pakkanen J, Iivarinen J, Oja E. The evolving tree\u2014a novel self-organizing network for data analysis. Neural Process Lett. 2004;20(3):199\u2013211.","journal-title":"Neural Process Lett"},{"key":"9036_CR11","doi-asserted-by":"crossref","unstructured":"Lichodzijewski P, Zincir-Heywood AN, Heywood MI. Host-based intrusion detection using self-organizing maps In: IEEE International joint conference on neural networks, pp 1714\u20131719; 2002.","DOI":"10.1109\/IJCNN.2002.1007776"},{"key":"9036_CR12","unstructured":"Varsta M, Heikkonnen J, Millan JDR. Context learning with the self-organizing map In: Proceedings of workshop on self-organizing maps, Helsinki University of Technology, pp 197\u2013202; 1997."},{"key":"9036_CR13","doi-asserted-by":"crossref","unstructured":"Zhou J, Fu Y. Clustering high-dimensional data using growing SOM, Advances in Neural Networks ISNN 2005, Springer, 3497: 63\u201368; 2005.","DOI":"10.1007\/11427445_11"},{"key":"9036_CR14","doi-asserted-by":"crossref","unstructured":"LiuY, Tian D, Li B. A wireless intrusion detection method based on dynamic growing neural network. In: First international multi-symposiums on computer and computational sciences (IMSCCS\u201906), vol. 2, pp 611\u2013615; 2006.","DOI":"10.1109\/IMSCCS.2006.175"},{"key":"9036_CR15","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/BF02332159","volume":"2","author":"B Fritzke","year":"1995","unstructured":"Fritzke B. Growing grid\u2014a self-organizing network with constant neighborhood range and adaptation strength. Neural Process Lett. 1995;2:9\u201313.","journal-title":"Neural Process Lett"},{"key":"9036_CR16","first-page":"283","volume":"22","author":"S Tangsripairoj","year":"2006","unstructured":"Tangsripairoj S, Samadzadeh MH. Organizing and visualizing software repositories using the growing hierarchical self-organizing map. J Inf Sci Eng. 2006;22:283\u201395.","journal-title":"J Inf Sci Eng"},{"issue":"2","key":"9036_CR17","doi-asserted-by":"crossref","first-page":"131","DOI":"10.3233\/IDA-2004-8203","volume":"8","author":"E Pampalk","year":"2004","unstructured":"Pampalk E, Widmer G, Chan A. A new approach to hierarchical clustering and structuring of data with self-organizing maps. Intell Data Anal J. 2004;8(2):131\u201349.","journal-title":"Intell Data Anal J"},{"key":"9036_CR18","doi-asserted-by":"crossref","unstructured":"Kiviluoto K. Topology preservation in self-organizing maps. In: Proceeding of international conference on neural networks (ICNN), pp 294\u2013299; 1996.","DOI":"10.1109\/ICNN.1996.548907"},{"key":"9036_CR19","doi-asserted-by":"crossref","unstructured":"Najet A, Noureddine E. Cooperative supervised and unsupervised learning algorithm for phoneme recognition in continuous speech and seaker-independent context. Elsevier Science, Neurocomputing, Special Issue on Neural Pattern Recognition, vol 51, pp 225\u2013235; 2003.","DOI":"10.1016\/S0925-2312(02)00618-5"},{"key":"9036_CR20","unstructured":"Najet A. Speech clustering by means of self organizing maps. In: Tunisan-German conference on smart systems and devices, Hammamet-Tunisia, pp 27\u201330; 2001."},{"issue":"2","key":"9036_CR21","first-page":"120","volume":"3","author":"C Jlassi","year":"2008","unstructured":"Jlassi C, Arous N, Ellouze N. Comparative study of growing hierarchical SOM variants case study: phoneme recognition. Int Rev Comput Software IRECOS. 2008;3(2):120\u20138.","journal-title":"Int Rev Comput Software IRECOS"},{"key":"9036_CR22","doi-asserted-by":"crossref","unstructured":"Jlassi C, Arous N, Ellouze N. The growing hierarchical recurrent self organizing map for phoneme recognition In: ISCA tutoriel and research workshop on non-linear speech processing, NOLISP; 2009.","DOI":"10.1007\/978-3-642-11509-7_24"},{"key":"9036_CR23","unstructured":"Trimm DM. Evolving neural networks-evolutionary algorithms and self-organising maps. School of Computer Science, University of Birmingham, Edgbaston, Birmingham, UK. B15 2TT. Student projects. Posters; 2007."}],"container-title":["Cognitive Computation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-010-9036-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12559-010-9036-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-010-9036-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T19:08:11Z","timestamp":1739992091000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12559-010-9036-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,3,30]]},"references-count":23,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2010,9]]}},"alternative-id":["9036"],"URL":"https:\/\/doi.org\/10.1007\/s12559-010-9036-5","relation":{},"ISSN":["1866-9956","1866-9964"],"issn-type":[{"type":"print","value":"1866-9956"},{"type":"electronic","value":"1866-9964"}],"subject":[],"published":{"date-parts":[[2010,3,30]]}}}