{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T04:15:12Z","timestamp":1759032912800,"version":"3.40.4"},"reference-count":25,"publisher":"Tech Science Press","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Intelligent Automation & Soft Computing"],"published-print":{"date-parts":[[1998,1]]},"DOI":"10.1080\/10798587.1998.10750723","type":"journal-article","created":{"date-parts":[[2013,10,24]],"date-time":"2013-10-24T09:58:19Z","timestamp":1382608699000},"page":"73-81","source":"Crossref","is-referenced-by-count":6,"title":["Rule Specialization in Networks of Fuzzy Basis Functions"],"prefix":"10.32604","volume":"4","author":[{"given":"F.","family":"Casalino","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F.","family":"Masulli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Sperduti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"17807","reference":[{"key":"CIT0001","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.1109\/72.165607","volume":"3","author":"Barnard E.","year":"1992","journal-title":"IEEE Transactions on Neural Networks"},{"key":"CIT0002","doi-asserted-by":"crossref","unstructured":"F. Casalino, F. Masulli, A. Sperduti and F. Vannucci, \u201cSemantic phase transition in a classifier based on an adaptive fuzzy system,\u201d InProceedings of the Third IEEE International Conference on Fuzzy Systems, IEEE- FUZZ94, volume 2, IEEE, 1994, pp. 808\u2013812.","DOI":"10.1109\/FUZZY.1994.343839"},{"key":"CIT0003","unstructured":"R. Caviglia, \u201cSoft-computing methods for time series forecasting,\u201d (in Italian), Laurea Thesis in Computer Science, University of Genoa, Genova (Italy), 1994."},{"key":"CIT0004","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/BF02551274","volume":"2","author":"Cybenko G.","year":"1989","journal-title":"Mathematics of Control, Signals, and Systems"},{"key":"CIT0005","unstructured":"M. D. Garris and R. A. Wilkinson, \u201cNIST Special Database3 Handwritten Segmented Characters,\u201d National Institute of Standard and Technology, Gaithesburg, MD, USA, 1992."},{"key":"CIT0006","doi-asserted-by":"crossref","unstructured":"J. Hampshire and B. Pearlmutter, \u201cEquivalence proofs for multi-layer perceptron classifiers and the Bayesian discriminant function,\u201d In D.S. Touretzky, G. Hinton and T. Sejnowski, editors,Connectionist Models: Proceedings of the 1990 Summer school, Morgan Kaufmann, San Mateo, 1990, pp. 13\u201319.","DOI":"10.1016\/B978-1-4832-1448-1.50023-8"},{"key":"CIT0007","first-page":"655","volume":"23","author":"Jang J. S. R.","year":"1993","journal-title":"IEEE Trans, on Systems, Man, and Cybernetics"},{"key":"CIT0008","doi-asserted-by":"crossref","unstructured":"C. C. Jou, \u201cOn the mapping capabilities of fuzzy inference systems,\u201d InIJCNN International Joint Conference on Neural Networks, volume 2, IEEE, 1992, pp. 703\u2013713.","DOI":"10.1109\/IJCNN.1992.226904"},{"key":"CIT0009","doi-asserted-by":"crossref","unstructured":"C. C. Jou, \u201cComparing learning performance of neural networks and fuzzy systems,\u201d InIEEE International Conference on Fuzzy Systems, IEEE, 1993, pp. 1028\u20131033.","DOI":"10.1109\/ICNN.1993.298699"},{"key":"CIT0010","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1109\/72.88169","volume":"2","author":"Kanaya F.","year":"1991","journal-title":"IEEE Transactions on Neural Networks"},{"key":"CIT0011","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1109\/91.388171","volume":"3","author":"Kim H. M.","year":"1995","journal-title":"IEEE Trans, on Fuzzy Systems"},{"key":"CIT0012","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1109\/12.324566","volume":"43","author":"Kosko B.","year":"1994","journal-title":"IEEE Transactions on Computers"},{"key":"CIT0013","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1109\/21.52551","volume":"20","author":"Lee C. C.","year":"1990","journal-title":"IEEE Transactions on Systems, Man and Cybernetics"},{"key":"CIT0014","doi-asserted-by":"crossref","unstructured":"F. Masulli, \u201cBayesian classification by feedforward connectionist systems,\u201d In F. Masulli, P. G. Morasso and A. Schenone, editors,Neural Networks in Biomedicine, World Scientific, 1994, pp. 145\u2013162.","DOI":"10.1142\/9789814534444"},{"key":"CIT0015","doi-asserted-by":"crossref","unstructured":"F. Masulli, F. Casalino, R. Caviglia and L. Papa, \u201cComparison of statistical methods and fuzzy systems in atmospheric pressure wave prediction,\u201d In S.K Roger and D.W. Ruck, editors,Applications and Science of Artificial Neural Networks - SPIE Proceedings Series, volume 2492, SPIE, 1995, pp. 1050\u20131061.","DOI":"10.1117\/12.205101"},{"key":"CIT0016","doi-asserted-by":"crossref","unstructured":"F. Masulli, F. Casalino and F. Vannucci, \u201cBayesian properties and performances of adaptive fuzzy systems in pattern recognition problems,\u201d In M. Marinaro and P.G. Morasso, editors,Proceedings of the European Conference on Artificial Neural Networks, ICANN-94, Springer, 1994, pp. 189\u2013192.","DOI":"10.1007\/978-1-4471-2097-1_44"},{"key":"CIT0017","doi-asserted-by":"crossref","first-page":"538","DOI":"10.1109\/72.134293","volume":"2","author":"Miyake S.","year":"1991","journal-title":"IEEE Transactions on Neural Networks"},{"key":"CIT0018","doi-asserted-by":"crossref","unstructured":"T. Pavlidis, \u201cAlgorithms for Graphics and Image Processing,\u201d Springer-Verlag, 1982.","DOI":"10.1007\/978-3-642-93208-3"},{"key":"CIT0019","doi-asserted-by":"crossref","first-page":"978","DOI":"10.1126\/science.247.4945.978","volume":"247","author":"Poggio T.","year":"1990","journal-title":"Science"},{"key":"CIT0020","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1109\/72.80266","volume":"1","author":"Ruck D. W.","year":"1990","journal-title":"IEEE Transactions on Neural Networks"},{"key":"CIT0021","unstructured":"W. Rudin, \u201cPrinciples of Mathematical Analysis.\u201d McGraw-Hill, Inc. 1960."},{"key":"CIT0022","doi-asserted-by":"crossref","unstructured":"D. E. Rumelhart, G. E. Hinton and R. J. Williams, \u201cLearning internal representations by error propagation,\u201d In D.E. Rumelhart and J.L. McClelland, editors,Parallel Distributed Processing, volume 1, chapter 8, MIT Press, 1986, pp. 318\u2013362.","DOI":"10.21236\/ADA164453"},{"key":"CIT0023","unstructured":"L. X. Wang, \u201cFuzzy systems are universal approximators,\u201d InIJCNN International Joint Conference on Fuzzy y stems, IEEE, 1992, pp. 1163\u20131170."},{"key":"CIT0024","doi-asserted-by":"crossref","first-page":"807","DOI":"10.1109\/72.159070","volume":"5","author":"Wang L. X.","year":"1992","journal-title":"IEEE Trans, on Neural Networks"},{"key":"CIT0025","unstructured":"L. X. Wang, \u201cAdaptive Fuzzy Systems and Control,\u201d Prentice Hall, 1994."}],"container-title":["Intelligent Automation & Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/autosoftjournal.net\/viewPaper.php?paper=10750723","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,30]],"date-time":"2025-04-30T18:13:18Z","timestamp":1746036798000},"score":1,"resource":{"primary":{"URL":"http:\/\/autosoftjournal.net\/paperShow.php?paper=10750723"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1998,1]]},"references-count":25,"journal-issue":{"issue":"1","published-print":{"date-parts":[[1998,1]]}},"alternative-id":["10.1080\/10798587.1998.10750723"],"URL":"https:\/\/doi.org\/10.1080\/10798587.1998.10750723","relation":{},"ISSN":["1079-8587","2326-005X"],"issn-type":[{"type":"print","value":"1079-8587"},{"type":"electronic","value":"2326-005X"}],"subject":[],"published":{"date-parts":[[1998,1]]}}}