{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:27:07Z","timestamp":1730266027077,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,7]]},"DOI":"10.1109\/ijcnn.2010.5596700","type":"proceedings-article","created":{"date-parts":[[2010,10,19]],"date-time":"2010-10-19T18:58:15Z","timestamp":1287514695000},"page":"1-8","source":"Crossref","is-referenced-by-count":8,"title":["An intelligent perturbative approach for the time series forecasting problem"],"prefix":"10.1109","author":[{"given":"Paulo S.G.","family":"de Mattos Neto","sequence":"first","affiliation":[]},{"given":"Aranildo R.","family":"Lima","sequence":"additional","affiliation":[]},{"given":"Tiago A.E.","family":"Ferreira","sequence":"additional","affiliation":[]},{"given":"George D.C.","family":"Cavalcanti","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1007\/BFb0067700","article-title":"The levenberg-marquardt algorithm: Implementation and theory","volume":"630","author":"mor","year":"1977","journal-title":"Numerical Analysis Ser Lecture Notes in Mathematics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(05)80056-5"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.2.141"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/for.3980120802"},{"article-title":"The Econometric Modelling of Financial Time Series","year":"2003","author":"mills","key":"ref14"},{"key":"ref15","first-page":"1942","article-title":"Particle swarm optimization","year":"1995","journal-title":"Proceedings of the IEEE International Conference on Neural Networks IV"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1994.6.3.509"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-2070(01)00120-0"},{"key":"ref18","first-page":"69","article-title":"Tuning the structure and parameters of a neural network by using hybrid taguchi-genetic algorithm&#x201D;, Neural Networks","author":"liu","year":"2006","journal-title":"IEEE Transactions on"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICHIS.2005.71"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511755798"},{"key":"ref3","article-title":"The Value of Science","author":"poincare","year":"2001","journal-title":"Essential Writings of Henri Poincare (Modern Library Science) Modern Library"},{"article-title":"Modern Quantum Mechanics","year":"1994","author":"sakurai","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-008-9085-x"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2002.804317"},{"key":"ref7","first-page":"366","article-title":"Detecting strange attractor in turbulence","volume":"898","author":"takens","year":"1980","journal-title":"Dynamical systems and turbulence - Lectures notes in mathematics"},{"journal-title":"Advanced Mathematical Methods for Scientists and EngineersA Asymptotic Methods and Perturbation Theory (v 1)","year":"1999","author":"bender","key":"ref2"},{"article-title":"Perturbation theory","year":"2007","author":"gallavotti","key":"ref1"},{"key":"ref9","first-page":"586","article-title":"A direct adaptive method for faster backpropagation learng: The rprop algorithm","author":"reidmiller","year":"0","journal-title":"Proceedings of the IEEE Int Conf on Neural Networks (ICNN) San Francisco 1993"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2005.1556427"},{"key":"ref22","first-page":"1843","article-title":"A study for multi-objective fitness function for time series forecasting with intelligent techniques","author":"junior","year":"2008","journal-title":"Genetic and Evolutionary Computation Conference"},{"key":"ref21","first-page":"1844","article-title":"Tatical asset allocation: an artificial neural network based model","volume":"3","author":"casas","year":"2001","journal-title":"IJCNN 2001"}],"event":{"name":"2010 International Joint Conference on Neural Networks (IJCNN 2010)","start":{"date-parts":[[2010,7,18]]},"location":"Barcelona","end":{"date-parts":[[2010,7,23]]}},"container-title":["The 2010 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/5581822\/5595732\/05596700.pdf?arnumber=5596700","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T05:53:48Z","timestamp":1582264428000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/5596700\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,7]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2010.5596700","relation":{},"subject":[],"published":{"date-parts":[[2010,7]]}}}