{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,9]],"date-time":"2024-06-09T08:29:12Z","timestamp":1717921752024},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2004,11,1]],"date-time":"2004-11-01T00:00:00Z","timestamp":1099267200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Processing Letters"],"published-print":{"date-parts":[[2004,11]]},"DOI":"10.1007\/s11063-004-0635-6","type":"journal-article","created":{"date-parts":[[2004,11,18]],"date-time":"2004-11-18T07:05:06Z","timestamp":1100761506000},"page":"105-124","source":"Crossref","is-referenced-by-count":9,"title":["Lazy Learning in Radial Basis Neural Networks: A Way of Achieving More Accurate Models"],"prefix":"10.1007","volume":"20","author":[{"given":"Jos\ufffd M.","family":"Valls","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"In\ufffds M.","family":"Galv\ufffdn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pedro","family":"Isasi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"CR1","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1162\/neco.1989.1.2.281","volume":"1","author":"J. E. Moody","year":"1989","unstructured":"Moody, J. E. and Darkn, C.: Fast learning in networks of locally tuned processing units. Neural Computation, 1 (1989), 281-294.","journal-title":"Neural Computation"},{"key":"CR2","doi-asserted-by":"crossref","first-page":"1481","DOI":"10.1109\/5.58326","volume":"78","author":"T. Poggio","year":"1990","unstructured":"Poggio, T. and Girosi, F.: Networks for approximation and learning. Proc. IEEE, 78 (1990), 1481-1497.","journal-title":"Proc. IEEE"},{"key":"CR3","doi-asserted-by":"crossref","unstructured":"Ghosh, J. and Nag, A.: An Overview of Radial Basis Function Networks. R. J. Howlett and L.C. Jain (Eds). Physica Verlag, (2000).","DOI":"10.1007\/978-3-7908-1826-0_1"},{"key":"CR4","first-page":"321","volume":"2","author":"D. S. Broomhead","year":"1988","unstructured":"Broomhead, D. S. and Lowe, D.: Multivariable functional interpolation and adaptative networks. Complex Systems, 2 (1988), 321-355.","journal-title":"Complex Systems"},{"key":"CR5","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1093\/oso\/9780198534396.003.0003","volume":"3","author":"M. Powell","year":"1992","unstructured":"Powell, M.: The theory of radial basis function approximation in 1990. Advances in Numerical Analysis, 3 (1992), 105-210.","journal-title":"Advances in Numerical Analysis"},{"key":"CR6","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1162\/neco.1993.5.2.305","volume":"5","author":"I. J. Park","year":"1993","unstructured":"Park, I. J. and Sandberg, W.: Universal approximation and radial-basis-function networks. Neural Computation, 5 (1993), 305-316.","journal-title":"Neural Computation"},{"key":"CR7","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1162\/neco.1989.1.3.312","volume":"1","author":"Y. S. Abu-Mostafa","year":"1989","unstructured":"Abu-Mostafa, Y. S.: The vapnik-chervonenkis dimension: information versus complexity in learning. Neural Computation, 1 (1989), 312-317.","journal-title":"Neural Computation"},{"key":"CR8","first-page":"201","volume":"15","author":"D. Cohn","year":"1994","unstructured":"Cohn, D. Atlas, L. and Ladner.R.: Improving generalization with active learning. machine learning. Machine Learning, 15 (1994) 201-221.","journal-title":"Machine Learning"},{"key":"CR9","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1023\/A:1006559212014","volume":"11","author":"C.G. Atkenson","year":"1997","unstructured":"Atkenson, C.G. Moore, A.W. and Schaal, S.: Locally weighted learning. Artificial Intelligence Review, 11 (1997) 11-73.","journal-title":"Artificial Intelligence Review"},{"key":"CR10","first-page":"1133","volume":"4","author":"D. Wettschereck","year":"1992","unstructured":"Wettschereck, D. and Dietterich, T.: Improving the perfomance of radial basis function networks by learning center locations. Advances in Neural Information Processing Systems, 4 (1992), 1133-1140.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"CR11","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1016\/S0893-6080(98)00051-3","volume":"11","author":"A. Leonardis","year":"1998","unstructured":"Leonardis, A. and Bischof, H.: An efficient mdl-based construction of rbf networks. Neural Networks, 11 (1998), 963-973.","journal-title":"Neural Networks"},{"key":"CR12","unstructured":"Orr. M. J. L.: Introduction to radial basis neural networks. Technical Report. Centre for Cognitive Science, University of Edinburgh, (1996)."},{"key":"CR13","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1162\/neco.1997.9.2.461","volume":"9","author":"L. Yingwei","year":"1997","unstructured":"Yingwei, L. Sundararajan, N. and Saratchandran, P.: A sequential learning scheme for function approximation using minimal radial basis function neural networks. Neural Computation, 9 (1997), 461-478.","journal-title":"Neural Computation"},{"key":"CR14","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1126\/science.267326","volume":"197","author":"M. C. Mackey","year":"1977","unstructured":"Mackey, M. C. and Glass, L. Oscillation and chaos in physiological control systems. Science, 197 (1977) 287-289.","journal-title":"Science"},{"key":"CR15","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1162\/neco.1991.3.2.213","volume":"3","author":"J. Platt","year":"1991","unstructured":"Platt, J.: A resource-allocating network for function interpolation. Neural Computation, 3 (1991), 213-225.","journal-title":"Neural Computation"},{"key":"CR16","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1109\/72.265957","volume":"5","author":"B. A. Whitehead","year":"1995","unstructured":"Whitehead, B. A. and Choate, T. D.: Cooperative-competitive genetic evolution of radial basis function centeres and widths for time series prediction. IEEE Transactions on Neural Networks, 5 (1995), 15-23.","journal-title":"IEEE Transactions on Neural Networks"},{"key":"CR17","first-page":"45","volume":"1","author":"E. Moretti","year":"1984","unstructured":"Moretti, E. and Tomasin, A.: Un contributo matematico all-elaborazione previsionale dei dati di marea a Venecia. Boll. Ocean. Teor. Appl., 1 (1984), 45-61.","journal-title":"Boll. Ocean. Teor. Appl."},{"key":"CR18","first-page":"67","volume":"1","author":"A. Michelato","year":"1983","unstructured":"Michelato, A. Mosetti, R. and Viezzoli. D.: Statistical forecasting of strong surges and aplication to the lagoon of Venice. Boll. Ocean. Teor. Appl., 1 (1983), 67-83.","journal-title":"Boll. Ocean. Teor. Appl."},{"key":"CR19","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/0010-4655(73)90010-6","volume":"5","author":"A. Tomasin","year":"1973","unstructured":"Tomasin, A.: A computer simulation of the Adriatic Sea for the study of its dynamics and for the forecasting of floods in the town of Venice. Comp. Phys. Comm., 5 (1973), 51.","journal-title":"Comp. Phys. Comm."},{"key":"CR20","unstructured":"Vittori, G.: On the chaotic features of tide elevation in the lagoon Venice. Proc. of the ICCE-92, 23rd International Conference on Coastal Engineering, pages (1992), 4-9."},{"key":"CR21","doi-asserted-by":"crossref","first-page":"61","DOI":"10.2166\/hydro.2000.0005","volume":"2","author":"J. M. Zald?\u00b4 var","year":"2000","unstructured":"Zald?\u00b4 var, J. M. Gutrrez, E. Galva\u00b4 n, I. M. Strozzi, F. and Tomasin, A.: Forecasting high waters at Venice Lagoon using chaotic time series analysis and nonlinear neural networks. Journal of Hydroinformatics, 2 (2000), 61-84.","journal-title":"Journal of Hydroinformatics"}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-004-0635-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11063-004-0635-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-004-0635-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T14:21:09Z","timestamp":1705328469000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11063-004-0635-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2004,11]]},"references-count":21,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2004,11]]}},"alternative-id":["DO00000635"],"URL":"https:\/\/doi.org\/10.1007\/s11063-004-0635-6","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2004,11]]}}}