{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T06:09:01Z","timestamp":1725516541278},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540699385"},{"type":"electronic","value":"9783540699392"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-69939-2_11","type":"book-chapter","created":{"date-parts":[[2008,8,12]],"date-time":"2008-08-12T12:07:43Z","timestamp":1218542863000},"page":"113-124","source":"Crossref","is-referenced-by-count":4,"title":["Fuzzy Evolutionary Probabilistic Neural Networks"],"prefix":"10.1007","author":[{"given":"V. L.","family":"Georgiou","sequence":"first","affiliation":[]},{"given":"Ph. D.","family":"Alevizos","sequence":"additional","affiliation":[]},{"given":"M. N.","family":"Vrahatis","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"3","key":"11_CR1","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1142\/S0218213006002722","volume":"15","author":"V.L. Georgiou","year":"2006","unstructured":"Georgiou, V.L., Pavlidis, N.G., Parsopoulos, K.E., Alevizos, Ph.D., Vrahatis, M.N.: New self\u2013adaptive probabilistic neural networks in bioinformatic and medical tasks. International Journal on Artificial Intelligence Tools\u00a015(3), 371\u2013396 (2006)","journal-title":"International Journal on Artificial Intelligence Tools"},{"key":"11_CR2","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1007\/s11063-007-9066-5","volume":"27","author":"V.L. Georgiou","year":"2008","unstructured":"Georgiou, V.L., Alevizos, Ph.D., Vrahatis, M.N.: Novel approaches to probabilistic neural networks through bagging and evolutionary estimating of prior probabilities. Neural Processing Letters\u00a027, 153\u2013162 (2008)","journal-title":"Neural Processing Letters"},{"issue":"3","key":"11_CR3","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/0893-6080(90)90049-Q","volume":"1","author":"D.F. Specht","year":"1990","unstructured":"Specht, D.F.: Probabilistic neural networks. Neural Networks\u00a01(3), 109\u2013118 (1990)","journal-title":"Neural Networks"},{"issue":"2","key":"11_CR4","first-page":"1","volume":"1","author":"T. Ganchev","year":"2004","unstructured":"Ganchev, T., Tasoulis, D.K., Vrahatis, M.N., Fakotakis, N.: Locally recurrent probabilistic neural networks with application to speaker verification. GESTS International Transaction on Speech Science and Engineering\u00a01(2), 1\u201313 (2004)","journal-title":"GESTS International Transaction on Speech Science and Engineering"},{"issue":"7\u20139","key":"11_CR5","doi-asserted-by":"publisher","first-page":"1424","DOI":"10.1016\/j.neucom.2006.05.012","volume":"70","author":"T. Ganchev","year":"2007","unstructured":"Ganchev, T., Tasoulis, D.K., Vrahatis, M.N., Fakotakis, N.: Generalized locally recurrent probabilistic neural networks with application to text-independent speaker verification. Neurocomputing\u00a070(7\u20139), 1424\u20131438 (2007)","journal-title":"Neurocomputing"},{"key":"11_CR6","unstructured":"Guo, J., Lin, Y., Sun, Z.: A novel method for protein subcellular localization based on boosting and probabilistic neural network. In: Proceedings of the 2nd Asia-Pacific Bioinformatics Conference (APBC 2004), Dunedin, New Zealand, pp. 20\u201327 (2004)"},{"key":"11_CR7","unstructured":"Huang, C.J.: A performance analysis of cancer classification using feature extraction and probabilistic neural networks. In: Proceedings of the 7th Conference on Artificial Intelligence and Applications, Wufon, Taiwan, pp. 374\u2013378 (2002)"},{"key":"11_CR8","volume-title":"Kernel Discriminant Analysis","author":"J.D. Hand","year":"1982","unstructured":"Hand, J.D.: Kernel Discriminant Analysis. Research Studies Press, Chichester (1982)"},{"key":"11_CR9","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1214\/aoms\/1177704472","volume":"3","author":"E. Parzen","year":"1962","unstructured":"Parzen, E.: On the estimation of a probability density function and mode. Annals of Mathematical Statistics\u00a03, 1065\u20131076 (1962)","journal-title":"Annals of Mathematical Statistics"},{"key":"11_CR10","doi-asserted-by":"publisher","first-page":"1942","DOI":"10.1109\/ICNN.1995.488968","volume-title":"Proceedings IEEE International Conference on Neural Networks","author":"J. Kennedy","year":"1995","unstructured":"Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings IEEE International Conference on Neural Networks, Piscataway, NJ, vol.\u00a0IV, pp. 1942\u20131948. IEEE Service Center, Los Alamitos (1995)"},{"issue":"2\u20133","key":"11_CR11","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1023\/A:1016568309421","volume":"1","author":"K.E. Parsopoulos","year":"2002","unstructured":"Parsopoulos, K.E., Vrahatis, M.N.: Recent approaches to global optimization problems through particle swarm optimization. Natural Computing\u00a01(2\u20133), 235\u2013306 (2002)","journal-title":"Natural Computing"},{"key":"11_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1007\/3-540-45493-4_12","volume-title":"Computational Intelligence. Theory and Applications","author":"F. Delgosha","year":"2001","unstructured":"Delgosha, F., Menhaj, M.B.: Fuzzy probabilistic neural networks: A practical approach to the implementation of bayesian classifier. In: Reusch, B. (ed.) Fuzzy Days 2001. LNCS, vol.\u00a02206, pp. 76\u201385. Springer, Heidelberg (2001)"},{"issue":"3","key":"11_CR13","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"L.A. Zadeh","year":"1965","unstructured":"Zadeh, L.A.: Fuzzy sets. Information and Control\u00a08(3), 338\u2013353 (1965)","journal-title":"Information and Control"},{"issue":"4","key":"11_CR14","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1109\/2.53","volume":"21","author":"L.A. Zadeh","year":"1988","unstructured":"Zadeh, L.A.: Fuzzy logic. IEEE Computer\u00a021(4), 83\u201393 (1988)","journal-title":"IEEE Computer"},{"issue":"6","key":"11_CR15","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1109\/TPAMI.1985.4767725","volume":"7","author":"J.M. Keller","year":"1985","unstructured":"Keller, J.M., Hunt, D.J.: Incorporating fuzzy membership functions into the perceptron algorithm. IEEE Trans. Pattern Anal. Machine Intell.\u00a07(6), 693\u2013699 (1985)","journal-title":"IEEE Trans. Pattern Anal. Machine Intell."},{"issue":"6","key":"11_CR16","doi-asserted-by":"publisher","first-page":"1364","DOI":"10.1109\/TNN.2002.804311","volume":"13","author":"J. Chen","year":"2002","unstructured":"Chen, J., Chen, C.: Fuzzy kernel perceptron. IEEE Transactions on Neural Networks\u00a013(6), 1364\u20131373 (2002)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"11_CR17","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316801","volume-title":"Finding Groups in Data: An Introduction to Cluster Analysis","author":"L. Kaufman","year":"1990","unstructured":"Kaufman, L., Rousseeuw, P.J.: Finding Groups in Data: An Introduction to Cluster Analysis. John Wiley and Sons, New York (1990)"},{"issue":"3","key":"11_CR18","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1109\/TEVC.2004.826076","volume":"8","author":"K.E. Parsopoulos","year":"2004","unstructured":"Parsopoulos, K.E., Vrahatis, M.N.: On the computation of all global minimizers through particle swarm optimization. IEEE Transactions on Evolutionary Computation\u00a08(3), 211\u2013224 (2004)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"1","key":"11_CR19","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1109\/4235.985692","volume":"6","author":"M. Clerc","year":"2002","unstructured":"Clerc, M., Kennedy, J.: The particle swarm\u2013explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation\u00a06(1), 58\u201373 (2002)","journal-title":"IEEE Transactions on Evolutionary Computation"},{"key":"11_CR20","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1016\/S0020-0190(02)00447-7","volume":"85","author":"I.C. Trelea","year":"2003","unstructured":"Trelea, I.C.: The particle swarm optimization algorithm: Convergence analysis and parameter selection. Information Processing Letters\u00a085, 317\u2013325 (2003)","journal-title":"Information Processing Letters"},{"key":"11_CR21","unstructured":"Prechelt, L.: Proben1: A set of neural network benchmark problems and benchmarking rules. Technical Report 21\/94, Fakult\u00e4t f\u00fcr Informatik, Universit\u00e4t Karlsruhe (1994)"},{"key":"11_CR22","unstructured":"Newman, D.J., Hettich, S., Blake, C.L., Merz, C.J.: UCI repository of machine learning databases (1998)"},{"key":"11_CR23","first-page":"1","volume":"23","author":"O.L. Mangasarian","year":"1990","unstructured":"Mangasarian, O.L., Wolberg, W.H.: Cancer diagnosis via linear programming. SIAM News\u00a023, 1\u201318 (1990)","journal-title":"SIAM News"},{"key":"11_CR24","unstructured":"Gorunescu, F., Gorunescu, M., Revett, K., Ene, M.: A hybrid incremental\/monte carlo searching technique for the smoothing parameter of probabilistic neural networks. In: Proceedings of the International Conference on Knowledge Engineering, Principles and Techniques, KEPT 2007, Cluj-Napoca, Romania, pp. 107\u2013113 (2007)"},{"key":"11_CR25","volume-title":"100 Statistical Tests","author":"G.K. Kanji","year":"1999","unstructured":"Kanji, G.K.: 100 Statistical Tests. Sage Publications, Thousand Oaks (1999)"},{"key":"11_CR26","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-540-24775-3_3","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"R.R. Bouckaert","year":"2004","unstructured":"Bouckaert, R.R., Frank, E.: Evaluating the replicability of significance tests for comparing learning algorithms. In: Dai, H., Srikant, R., Zhang, C. (eds.) PAKDD 2004. LNCS (LNAI), vol.\u00a03056, pp. 3\u201312. Springer, Heidelberg (2004)"},{"issue":"3","key":"11_CR27","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1023\/A:1024068626366","volume":"52","author":"C. Nadeau","year":"2003","unstructured":"Nadeau, C., Bengio, Y.: Inference for the generalization error. Machine Learning\u00a052(3), 239\u2013281 (2003)","journal-title":"Machine Learning"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks in Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-69939-2_11.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,3]],"date-time":"2021-05-03T00:13:17Z","timestamp":1620000797000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-69939-2_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540699385","9783540699392"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-69939-2_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[]}}