{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T15:11:08Z","timestamp":1725894668309},"publisher-location":"Berlin, Heidelberg","reference-count":27,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642039683"},{"type":"electronic","value":"9783642039690"}],"license":[{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2009,1,1]],"date-time":"2009-01-01T00:00:00Z","timestamp":1230768000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009]]},"DOI":"10.1007\/978-3-642-03969-0_30","type":"book-chapter","created":{"date-parts":[[2009,8,17]],"date-time":"2009-08-17T12:36:34Z","timestamp":1250512594000},"page":"325-335","source":"Crossref","is-referenced-by-count":0,"title":["Nonmonotone Learning of Recurrent Neural Networks in Symbolic Sequence Processing Applications"],"prefix":"10.1007","author":[{"given":"Chun-Cheng","family":"Peng","sequence":"first","affiliation":[]},{"given":"George D.","family":"Magoulas","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"30_CR1","unstructured":"Antunes, C.M., Oliveira, A.L.: Temporal data mining: an overview. In: Proc. KDD Workshop on Temporal Data Mining, San Francisco, CA, August 26, 2001, pp. 1\u201313 (2001)"},{"key":"30_CR2","volume-title":"Practical Optimization","author":"P.E. Gill","year":"1981","unstructured":"Gill, P.E., Murray, W., Wright, M.H.: Practical Optimization. Academic Press, London (1981)"},{"key":"30_CR3","volume-title":"Rethinking Innateness: A Connectionist Perspective on Development","author":"J.L. Elman","year":"1997","unstructured":"Elman, J.L., Bates, E.A., Johnson, M.H., Karmiloff-Smith, A., Parisi, D., Plunkett, K.: The shape of change. In: Rethinking Innateness: A Connectionist Perspective on Development, ch.\u00a06. MIT Press, Cambridge (1997)"},{"key":"30_CR4","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1137\/0723046","volume":"23","author":"L. Grippo","year":"1986","unstructured":"Grippo, L., Lampariello, F., Lucidi, S.: A nonmonotone line search technique for Newton\u2019s method. SIAM J. Numerical Analysis\u00a023, 707\u2013716 (1986)","journal-title":"SIAM J. Numerical Analysis"},{"issue":"3","key":"30_CR5","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1007\/BF00939421","volume":"64","author":"L. Grippo","year":"1990","unstructured":"Grippo, L., Lampariello, F., Lucidi, S.: A quasi-discrete Newton algorithm with a nonmonotone stabilization technique. J. Optimization Theory and Applications\u00a064(3), 495\u2013510 (1990)","journal-title":"J. Optimization Theory and Applications"},{"key":"30_CR6","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1007\/BF01385810","volume":"59","author":"L. Grippo","year":"1991","unstructured":"Grippo, L., Lampariello, F., Lucidi, S.: A class of nonmonotone stabilization methods in unconstrained optimization. Numerische Mathematik\u00a059, 779\u2013805 (1991)","journal-title":"Numerische Mathematik"},{"key":"30_CR7","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1023\/A:1020587701058","volume":"23","author":"L. Grippo","year":"2002","unstructured":"Grippo, L., Sciandrone, M.: Nonmonotone globalization techniques for the Barzilai-Borwein gradient method. Computational Optimization and Applications\u00a023, 143\u2013169 (2002)","journal-title":"Computational Optimization and Applications"},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1007\/s10589-006-6444-2","volume":"34","author":"G. Fasano","year":"2006","unstructured":"Fasano, G., Lampariello, F., Sciandrone, M.: A truncated nonmonotone Gauss-Newton method for large-scale nonlinear least-squares problems. Computational Optimization and Applications\u00a034, 343\u2013358 (2006)","journal-title":"Computational Optimization and Applications"},{"issue":"6","key":"30_CR9","doi-asserted-by":"publisher","first-page":"1268","DOI":"10.1109\/TNN.2002.804225","volume":"13","author":"V.P. Plagianakos","year":"2002","unstructured":"Plagianakos, V.P., Magoulas, G.D., Vrahatis, M.N.: Deterministic nonmonotone strategies for effective training of multi-layer perceptrons. IEEE Trans. Neural Networks\u00a013(6), 1268\u20131284 (2002)","journal-title":"IEEE Trans. Neural Networks"},{"key":"30_CR10","volume-title":"Recurrent neural networks: design and applications","author":"L.R. Medsker","year":"2000","unstructured":"Medsker, L.R., Jain, L.C.: Recurrent neural networks: design and applications. CRC Press, Boca Raton (2000)"},{"key":"30_CR11","volume-title":"Nonlinear System Identification","author":"O. Nelles","year":"2000","unstructured":"Nelles, O.: Nonlinear System Identification. Springer, Berlin (2000)"},{"key":"30_CR12","unstructured":"Riedmiller, M., Braun, H.: Rprop \u2013 a fast adaptive learning algorithm. In: Proc. Int\u2019l Symposium on Computer and Information Sciences, Antalya, Turkey, pp. 279\u2013285 (1992)"},{"key":"30_CR13","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/S0925-2312(01)00700-7","volume":"50","author":"C. Igel","year":"2003","unstructured":"Igel, C., H\u00fcsken, M.: Empirical evaluation of the improved Rprop learning algorithms. Neurocomputing\u00a050, 105\u2013123 (2003)","journal-title":"Neurocomputing"},{"key":"30_CR14","doi-asserted-by":"publisher","first-page":"1926","DOI":"10.1016\/j.patrec.2005.03.013","volume":"26","author":"A. Anastasiadis","year":"2005","unstructured":"Anastasiadis, A., Magoulas, G.D., Vrahatis, M.N.: Sign-based Learning Schemes for Pattern Classification. Pattern Recognition Letters\u00a026, 1926\u20131936 (2005)","journal-title":"Pattern Recognition Letters"},{"issue":"5","key":"30_CR15","doi-asserted-by":"publisher","first-page":"963","DOI":"10.1142\/S0218213008004242","volume":"17","author":"C.-C. Peng","year":"2008","unstructured":"Peng, C.-C., Magoulas, G.D.: Advanced Adaptive Nonmonotone Conjugate Gradient Training Algorithm for Recurrent Neural Networks. Int\u2019l J. Artificial Intelligence Tools (IJAIT)\u00a017(5), 963\u2013984 (2008)","journal-title":"Int\u2019l J. Artificial Intelligence Tools (IJAIT)"},{"key":"30_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1007\/978-3-540-74690-4_27","volume-title":"Artificial Neural Networks \u2013 ICANN 2007","author":"C.-C. Peng","year":"2007","unstructured":"Peng, C.-C., Magoulas, G.D.: Adaptive Self-scaling Non-monotone BFGS Training Algorithm for Recurrent Neural Networks. In: de S\u00e1, J.M., Alexandre, L.A., Duch, W., Mandic, D.P. (eds.) ICANN 2007. LNCS, vol.\u00a04668, pp. 259\u2013268. Springer, Heidelberg (2007)"},{"key":"30_CR17","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1090\/qam\/10666","volume":"5","author":"K. Levenberg","year":"1944","unstructured":"Levenberg, K.: A method for the solution of certain problems in least squares. Quart. Applied Mathematics\u00a05, 164\u2013168 (1944)","journal-title":"Quart. Applied Mathematics"},{"issue":"2","key":"30_CR18","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1137\/0111030","volume":"11","author":"D. Marquardt","year":"1963","unstructured":"Marquardt, D.: An algorithm for least squares estimation of nonlinear parameters. J. Society for Industrial and Applied Mathematics\u00a011(2), 431\u2013441 (1963)","journal-title":"J. Society for Industrial and Applied Mathematics"},{"key":"30_CR19","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1109\/72.329697","volume":"5","author":"M.T. Hagan","year":"1994","unstructured":"Hagan, M.T., Menhaj, M.B.: Training feedforward networks with the Marquardt algorithm. IEEE Trans. Neural Networks\u00a05, 989\u2013993 (1994)","journal-title":"IEEE Trans. Neural Networks"},{"key":"30_CR20","doi-asserted-by":"publisher","first-page":"1064","DOI":"10.1109\/TNN.2002.1031939","volume":"13","author":"N. Ampazis","year":"2002","unstructured":"Ampazis, N., Perantonis, S.J.: Two highly efficient second-order algorithms for training feedforward networks. IEEE Trans. Neural Networks\u00a013, 1064\u20131074 (2002)","journal-title":"IEEE Trans. Neural Networks"},{"key":"30_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/978-3-540-30111-0_13","volume-title":"User-Centered Interaction Paradigms for Universal Access in the Information Society","author":"G.D. Magoulas","year":"2004","unstructured":"Magoulas, G.D., Chen, S.Y., Dimakopoulos, D.: A personalised interface for web directories based on cognitive styles. In: Stary, C., Stephanidis, C. (eds.) UI4ALL 2004. LNCS, vol.\u00a03196, pp. 159\u2013166. Springer, Heidelberg (2004)"},{"key":"30_CR22","first-page":"148","volume-title":"Introduction to connectionist modelling of cognitive processes","author":"P. McLeod","year":"1998","unstructured":"McLeod, P., Plunkett, K., Rolls, E.T.: Introduction to connectionist modelling of cognitive processes, pp. 148\u2013151. Oxford University Press, Oxford (1998)"},{"key":"30_CR23","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1037\/0033-295X.103.1.56","volume":"103","author":"D. Plaut","year":"1996","unstructured":"Plaut, D., McClelland, J., Seidenberg, M., Patterson, K.: Understanding normal and impaired reading: computational principles in quasi-regular domains. Psychological Review\u00a0103, 56\u2013115 (1996)","journal-title":"Psychological Review"},{"issue":"1","key":"30_CR24","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1162\/neco.1989.1.1.39","volume":"1","author":"A. Waibel","year":"1989","unstructured":"Waibel, A.: Modular construction of time-delay neural networks for speech recognition. Neural Computation\u00a01(1), 39\u201346 (1989)","journal-title":"Neural Computation"},{"key":"30_CR25","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1109\/29.21701","volume":"37","author":"A. Waibel","year":"1989","unstructured":"Waibel, A., Hanazawa, T., Hilton, G., Shikano, K., Lang, K.J.: Phoneme recognition using time-delay neural networks. IEEE Transactions on Acoustics, Speech, and Signal Processing\u00a037, 328\u2013339 (1989)","journal-title":"IEEE Transactions on Acoustics, Speech, and Signal Processing"},{"key":"30_CR26","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1207\/s15516709cog1402_1","volume":"14","author":"J.L. Elman","year":"1990","unstructured":"Elman, J.L.: Finding structure in time. Cognitive Science\u00a014, 179\u2013211 (1990)","journal-title":"Cognitive Science"},{"key":"30_CR27","volume-title":"Neural Network Design","author":"M.T. Hagan","year":"1996","unstructured":"Hagan, M.T., Demuth, H.B., Beale, M.H.: Neural Network Design. PWS Publishing, Boston (1996)"}],"container-title":["Communications in Computer and Information Science","Engineering Applications of Neural Networks"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-03969-0_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,3,9]],"date-time":"2019-03-09T07:39:27Z","timestamp":1552117167000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-03969-0_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009]]},"ISBN":["9783642039683","9783642039690"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-03969-0_30","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2009]]}}}