{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T16:38:11Z","timestamp":1776357491998,"version":"3.51.2"},"reference-count":26,"publisher":"Elsevier BV","issue":"1-4","license":[{"start":{"date-parts":[[2002,3,1]],"date-time":"2002-03-01T00:00:00Z","timestamp":1014940800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2002,3]]},"DOI":"10.1016\/s0925-2312(01)00620-8","type":"journal-article","created":{"date-parts":[[2002,7,25]],"date-time":"2002-07-25T06:16:36Z","timestamp":1027577796000},"page":"51-75","source":"Crossref","is-referenced-by-count":136,"title":["Neural network models in greenhouse air temperature prediction"],"prefix":"10.1016","volume":"43","author":[{"given":"P.M.","family":"Ferreira","sequence":"first","affiliation":[]},{"given":"E.A.","family":"Faria","sequence":"additional","affiliation":[]},{"given":"A.E.","family":"Ruano","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/S0925-2312(01)00620-8_BIB1","doi-asserted-by":"crossref","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","article-title":"A new look at the statistical model identification","volume":"AC-19","author":"Akaike","year":"1974","journal-title":"IEEE Trans. Automat. Control"},{"key":"10.1016\/S0925-2312(01)00620-8_BIB2","first-page":"321","article-title":"Multivariable functional interpolation and adaptive networks","volume":"2","author":"Broomhead","year":"1988","journal-title":"Complex Systems"},{"issue":"2","key":"10.1016\/S0925-2312(01)00620-8_BIB3","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1109\/72.80341","article-title":"Orthogonal least squares learning algorithm for radial basis function networks","volume":"2","author":"Chen","year":"1991","journal-title":"IEEE Trans. Neural Networks"},{"issue":"1","key":"10.1016\/S0925-2312(01)00620-8_BIB4","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1109\/72.363440","article-title":"Optimal adaptive K-means algorithm with dynamic adjustment of learning rate","volume":"6","author":"Chinrungrueng","year":"1995","journal-title":"IEEE Trans. Neural Networks"},{"key":"10.1016\/S0925-2312(01)00620-8_BIB5","unstructured":"J.B. Cunha, A.E. Ruano, E.A. Faria, Dynamic temperature models of a soilless greenhouse, in: Proceedings of the Second Portuguese Conference on Automatic Control, Vol. 1, Porto, Portugal, 1996, Portuguese Association of Automatic Control, pp. 77\u201381."},{"key":"10.1016\/S0925-2312(01)00620-8_BIB6","series-title":"Neural Network Toolbox Users Guide","author":"Demuth","year":"1998"},{"key":"10.1016\/S0925-2312(01)00620-8_BIB7","doi-asserted-by":"crossref","unstructured":"P.M. Ferreira, E.A. Faria, A.E. Ruano, Real-time data acquisition system for the identification of dynamic temperature models in a hydroponic greenhouse, Acta Horticulturae 519: Computers and Automation, Electronic Information in Horticulture, Brussels, Belgium, January 2000, XXV International Horticultural Congress, pp. 191\u2013196.","DOI":"10.17660\/ActaHortic.2000.519.19"},{"key":"10.1016\/S0925-2312(01)00620-8_BIB8","unstructured":"R. Fletcher, Practical Methods of Optimization, 2nd Edition, Wiley, New York, 1996, p. 100."},{"key":"10.1016\/S0925-2312(01)00620-8_BIB9","unstructured":"R. Fletcher, Practical Methods of Optimization, 2nd Edition, Wiley, New York, 1996, p. 95."},{"key":"10.1016\/S0925-2312(01)00620-8_BIB10","unstructured":"P.E. Gill, W. Murray, M.H. Wright, Practical Optimization, Academic Press, Inc., New York, 1981, p. 306."},{"key":"10.1016\/S0925-2312(01)00620-8_BIB11","doi-asserted-by":"crossref","unstructured":"F. Girosi, M. Jones, T. Poggio, Priors, stabilizers and basis functions: from regularization to radial, tensor and additive splines, A.I. Memo N. 1430, Massachusetts Institute of Technology, Artificial Intelligence Laboratory, June 1993.","DOI":"10.1109\/IJCNN.1993.713898"},{"key":"10.1016\/S0925-2312(01)00620-8_BIB12","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1007\/BF00195855","article-title":"Networks and the best approximation property","volume":"63","author":"Girosi","year":"1990","journal-title":"Biol. Cybernet."},{"key":"10.1016\/S0925-2312(01)00620-8_BIB13","unstructured":"S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd Edition, Prentice-Hall, Englewood Cliffs, NJ, 1998, p. 299."},{"key":"10.1016\/S0925-2312(01)00620-8_BIB14","unstructured":"S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd Edition, Prentice-Hall, Englewood Cliffs, NJ, 1998."},{"key":"10.1016\/S0925-2312(01)00620-8_BIB15","doi-asserted-by":"crossref","first-page":"954","DOI":"10.1162\/neco.1993.5.6.954","article-title":"A function estimation approach to sequential learning with neural networks","volume":"5","author":"Kadirkamanathan","year":"1993","journal-title":"Neural Comput."},{"key":"10.1016\/S0925-2312(01)00620-8_BIB16","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1162\/neco.1991.3.2.213","article-title":"A resource allocating network for function interpolation","volume":"3","author":"Platt","year":"1991","journal-title":"Neural Comput."},{"key":"10.1016\/S0925-2312(01)00620-8_BIB17","doi-asserted-by":"crossref","unstructured":"T. Poggio, F. Girosi, Networks for approximation and learning, Proceedings of the IEEE, Vol. 78, September 1990, pp. 1481\u20131497.","DOI":"10.1109\/5.58326"},{"key":"10.1016\/S0925-2312(01)00620-8_BIB18","doi-asserted-by":"crossref","unstructured":"A.E. Ruano, P.J. Fleming, D.I. Jones, A connectionist approach to pid autotuning, IEE Proceedings, Part D, Vol. 139, Brighton, UK, 1992, pp. 279\u2013285.","DOI":"10.1049\/ip-d.1992.0037"},{"key":"10.1016\/S0925-2312(01)00620-8_BIB19","doi-asserted-by":"crossref","unstructured":"A.E. Ruano, D.I. Jones, P.J. Fleming, A new formulation of the learning problem for a neural network controller, IEEE Conference on Decision and Control, Brighton, UK, 1991, pp. 865\u2013866.","DOI":"10.1109\/CDC.1991.261439"},{"issue":"23","key":"10.1016\/S0925-2312(01)00620-8_BIB20","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/S0168-1699(97)00028-8","article-title":"Some artificial neural network applications to greenhouse environmental control","volume":"18","author":"Seginer","year":"1997","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/S0925-2312(01)00620-8_BIB21","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1006\/jaer.1994.1078","article-title":"Neural network models of the greenhouse climate","volume":"59","author":"Seginer","year":"1994","journal-title":"J. Agric. Eng. Res."},{"key":"10.1016\/S0925-2312(01)00620-8_BIB22","doi-asserted-by":"crossref","first-page":"299","DOI":"10.13031\/2013.27510","article-title":"Mimickink an expert greenhouse grower with a neural-net policy","volume":"39","author":"Seginer","year":"1996","journal-title":"Trans. ASAE"},{"key":"10.1016\/S0925-2312(01)00620-8_BIB23","doi-asserted-by":"crossref","unstructured":"G. van Straten, J.W. Bentum, R.F. Tap, Paradigms in greenhouse climate control: on hierarchy and energy savings, in: A. Munack and H.J. Tantau (Eds.), Mathematical and Control Applications in Agriculture and Horticulture, Hannover, Germany, September 1997, Pergamon, Oxford, pp. 307\u2013312.","DOI":"10.1016\/S1474-6670(17)41289-4"},{"issue":"9","key":"10.1016\/S0925-2312(01)00620-8_BIB24","doi-asserted-by":"crossref","first-page":"2503","DOI":"10.1109\/78.782193","article-title":"A dynamic regularized radial basis function network for nonlinear, nonstationary time series prediction","volume":"47","author":"Yee","year":"1999","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/S0925-2312(01)00620-8_BIB25","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1162\/neco.1997.9.2.461","article-title":"A sequential learning scheme for function approximation using minimal radial basis function neural networks","volume":"9","author":"Yingwei","year":"1997","journal-title":"Neural Comput."},{"issue":"2","key":"10.1016\/S0925-2312(01)00620-8_BIB26","doi-asserted-by":"crossref","first-page":"308","DOI":"10.1109\/72.661125","article-title":"Performance evaluation of a sequential minimal radial basis function (RBF) meural network learning algorithm","volume":"9","author":"Yingwei","year":"1998","journal-title":"IEEE Trans. Neural Networks"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231201006208?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231201006208?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2020,1,7]],"date-time":"2020-01-07T21:32:47Z","timestamp":1578432767000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231201006208"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2002,3]]},"references-count":26,"journal-issue":{"issue":"1-4","published-print":{"date-parts":[[2002,3]]}},"alternative-id":["S0925231201006208"],"URL":"https:\/\/doi.org\/10.1016\/s0925-2312(01)00620-8","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2002,3]]}}}