{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T01:23:54Z","timestamp":1722907434983},"reference-count":9,"publisher":"Computers, Materials and Continua (Tech Science Press)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Intelligent Automation &amp; Soft Computing"],"published-print":{"date-parts":[[2009,1]]},"DOI":"10.1080\/10798587.2009.10643011","type":"journal-article","created":{"date-parts":[[2013,3,2]],"date-time":"2013-03-02T07:56:01Z","timestamp":1362210961000},"page":"1-11","source":"Crossref","is-referenced-by-count":6,"title":["Optimal Bandwidth Design for Lazy Learning Via Particle Swarm Optimization"],"prefix":"10.32604","volume":"15","author":[{"given":"Tian Hong","family":"Pan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaoyuan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ning","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"17807","reference":[{"key":"CIT0003","unstructured":"G. Cybenko, \u201cJust-in-Time learning and estimation.\u201d In:Identification, adaptation, learning, the science of learning models from data(S. Bittanti and G. Picci, Eds). Springer, Berlin, pp: 423\u2013434, 1996."},{"key":"CIT0005","unstructured":"A. Stenman, \u201cModel-on-Demand: algorithm, analysis and applications,\u201d Ph.D. thesis, Linkoping University, Linkoping, Sweden, 1999."},{"key":"CIT0007","unstructured":"G. Bontempi, \u201cLocal learning techniques for modelling, prediction and control,\u201d Ph.D. thesis, IRIDIA- Universit\u2019e Libre de Bruxelles, 1999."},{"key":"CIT0008","unstructured":"J. E. Kennedy and R. Eberhart, \u201cParticle swarm optimization.\u201d InProc. of the 1995 IEEE international conference on neural networks, Perth, Australia(pp: 1942\u20131948), vol. IV. Piscataway, NJ: IEEE Service Center, 1995."},{"key":"CIT0012","unstructured":"D. Inoue and S. Yamamoto, \u201cAn operation support systems based on database-driven on-demand predictive control,\u201dIn Proc. of SICE annual conferencein Sapporo, Japan, pp: 2024\u20132027, 2004."},{"key":"CIT0013","doi-asserted-by":"crossref","unstructured":"M. H. Clifford and S. S. Jeffrey, \u201cSmoothing parameter selection in nonparametric regression using an improved AIC criterion,\u201d J. R. Stat. Soc., B (60): 271\u2013293, 1998.","DOI":"10.1111\/1467-9868.00125"},{"key":"CIT0014","unstructured":"Y. Shi and R. Eberhart, \u201cA modified particle swarm optimizer,\u201d InProc. of 1998 IEEE International conference on evaluation computation, Anchorage, AK, pp: 69\u201373, 1998."},{"key":"CIT0015","unstructured":"P. J. Angeline, \u201cUsing selection to improve particle swarm optimization,\u201d InProceedings of 1998 IEEE International Conference on Evaluation Computation, Anchorage, AK, pp: 84\u201389, 1998."},{"key":"CIT0019","unstructured":"K S. Narendra and S. M. Li, \u201cNeural networks in control systems.\u201d In:Mathematical Perspectives on Neural Networks(Paul Smolensky, M.C. Mozer and Rumelhart D.E., eds). Chap. 11, pages: 347394. Lawrence Erlbaum Associates, 1996."}],"container-title":["Intelligent Automation &amp; Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/autosoftjournal.net\/viewPaper.php?paper=10643011","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,3]],"date-time":"2020-06-03T13:08:57Z","timestamp":1591189737000},"score":1,"resource":{"primary":{"URL":"http:\/\/autosoftjournal.net\/paperShow.php?paper=10643011"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,1]]},"references-count":9,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2009,1]]}},"alternative-id":["10.1080\/10798587.2009.10643011"],"URL":"https:\/\/doi.org\/10.1080\/10798587.2009.10643011","relation":{},"ISSN":["1079-8587","2326-005X"],"issn-type":[{"value":"1079-8587","type":"print"},{"value":"2326-005X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2009,1]]}}}