{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T19:10:09Z","timestamp":1746385809091,"version":"3.40.4"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319109596"},{"type":"electronic","value":"9783319109602"}],"license":[{"start":{"date-parts":[[2014,9,21]],"date-time":"2014-09-21T00:00:00Z","timestamp":1411257600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2014,9,21]],"date-time":"2014-09-21T00:00:00Z","timestamp":1411257600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-10960-2_9","type":"book-chapter","created":{"date-parts":[[2014,9,20]],"date-time":"2014-09-20T11:40:07Z","timestamp":1411213207000},"page":"139-149","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Ensemble Neural Network Optimization Using the Particle Swarm Algorithm with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction"],"prefix":"10.1007","author":[{"given":"Martha","family":"Pulido","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patricia","family":"Melin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,9,21]]},"reference":[{"key":"9_CR1","doi-asserted-by":"crossref","unstructured":"Brockwell, P.D., Richard, A.D.: Introduction to Time Series and Forecasting, pp. 1\u2013219. Springer, New York (2002)","DOI":"10.1007\/b97391"},{"key":"9_CR2","unstructured":"Krogh, A., Vedelsby, J.: Neural network ensembles, cross validation, and active learning. In: Tesauro, G., Touretzky, D., Leen, T. (eds.), Advances in Neural Information Processing Systems, vol. 7, pp. 231\u2013238. MIT Press, Cambridge (1995)"},{"issue":"6","key":"9_CR3","first-page":"1395","volume":"13","author":"O Castillo","year":"2002","unstructured":"Castillo, O., Melin, P.: Hybrid intelligent systems for time series prediction using neural networks, fuzzy logic, and fractal theory neural networks. IEEE Trans. 13(6), 1395\u20131408 (2002)","journal-title":"IEEE Trans."},{"key":"9_CR4","unstructured":"Golberg, D. (ed.): Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley (1989)"},{"key":"9_CR5","unstructured":"Plummer, E.A. Time Series Forecasting with Feed-Forward Neural Networks: Guidelines and Limitations. University of Wyoming 2000"},{"key":"9_CR6","doi-asserted-by":"crossref","unstructured":"Maguire, L.P., Roche, B., McGinnity, T.M., McDaid, L.J.: Predicting a chaotic time series using a fuzzy neural network. 12(1\u20134), 125\u2013136 (1998)","DOI":"10.1016\/S0020-0255(98)10026-9"},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Multaba, I.M., Hussain, M.A. Application of Neural Networks and Other Learning. Technologies in Process Engineering. Imperial Collage Press (2001)","DOI":"10.1142\/p225"},{"key":"9_CR8","unstructured":"Sollich P., Krogh, A., Learning with ensembles: how over-fitting can be useful. In: Touretzky, D.S., Mozer, M.C., Hasselmo, M.E. (eds.) Advances in Neural Information Processing Systems 8, Denver, CO, pp. 190\u2013196, MIT Press, Cambridge (1996)"},{"issue":"4","key":"9_CR9","doi-asserted-by":"publisher","first-page":"1157","DOI":"10.1016\/j.asoc.2006.01.003","volume":"7","author":"RN Yadav","year":"2007","unstructured":"Yadav, R.N., Kalra, P.K., John, J.: Time series prediction with single multiplicative neuron model. Soft Comput. Time Ser. Prediction Appl. Soft Comput. 7(4), 1157\u20131163 (2007)","journal-title":"Soft Comput. Time Ser. Prediction Appl. Soft Comput."},{"issue":"3","key":"9_CR10","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1109\/3477.678637","volume":"28","author":"X Yao","year":"1998","unstructured":"Yao, X., Liu, Y.: Making use of population information in evolutionary artificial neural networks. IEEE Trans. Syst. Man and Cybern. Part B: Cybern. 28(3), 417\u2013425 (1998)","journal-title":"IEEE Trans. Syst. Man and Cybern. Part B: Cybern."},{"issue":"1","key":"9_CR11","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/S0933-3657(01)00094-X","volume":"24","author":"Z-H Zhou","year":"2002","unstructured":"Zhou, Z.-H., Jiang, Y., Yang, Y.-B., Chen, S.-F.: Lung cancer cell identification based on artificial neural network ensembles. Artif. Intell. Med. 24(1), 25\u201336 (2002)","journal-title":"Artif. Intell. Med."},{"key":"9_CR12","unstructured":"Dow Jones Company. http:\/\/www.dowjones.com. New York, 10 Jan 2010"},{"key":"9_CR13","unstructured":"Dow Jones Indexes. http:\/\/www.djindexes.com 5 Sept 2010"},{"issue":"1\u20134","key":"9_CR14","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/S0020-0255(99)00067-5","volume":"120","author":"N Karnik","year":"1999","unstructured":"Karnik, N., Mendel, M.: Applications of type-2 fuzzy logic systems to forecasting of time-series. Inf. Sci. 120(1\u20134), 89\u2013111 (1999)","journal-title":"Inf. Sci."},{"key":"9_CR15","doi-asserted-by":"crossref","unstructured":"Zhao, L. Yang, Y.: PSO-based single multiplicative neuron model for time series prediction. Expert Syst. Appl. 36(2), 2805-2812 (2009)","DOI":"10.1016\/j.eswa.2008.01.061"},{"key":"9_CR16","unstructured":"Reeves, R.C., Row E.J.: Genetic Algorithms: Principles and Perspectives, A Guide to GA Theory, pp. 2\u201317, Kluwer Academic Publishers, New York (2003)"},{"key":"9_CR17","unstructured":"Zadeh, L.A.: Fuzzy sets and applications: selected papers. In: R.R. Yager et al. (eds.). Wiley, New York (1987)"},{"key":"9_CR18","doi-asserted-by":"crossref","unstructured":"Pulido, M., Mancilla, A., Melin, P.: An Ensemble Neural Network Architecture with Fuzzy Response Integration for Complex Time Series Prediction Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control. pp. 85\u2013110, Springer, Berlin (2009)","DOI":"10.1007\/978-3-642-04514-1_6"},{"key":"9_CR19","volume-title":"One combining Artificial of Neural Nets","author":"A Sharkey","year":"1996","unstructured":"Sharkey, A.: One combining Artificial of Neural Nets. Department of Computer Science University of Sheffield, UK (1996)"},{"key":"9_CR20","doi-asserted-by":"crossref","unstructured":"Sharkey, A.A.: Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems. Springer, London (1999)","DOI":"10.1007\/978-1-4471-0793-4"},{"key":"9_CR21","doi-asserted-by":"crossref","unstructured":"Shimshoni, Y.N.: Initiator Classification of seismic signal by integrating ensemble of neural networks. IEEE Trans. Sig. Process. 461(5), 1194\u20131201 (1998)","DOI":"10.1109\/78.668782"},{"key":"9_CR22","doi-asserted-by":"crossref","unstructured":"Castillo, O., Melin, P.: Type-2 Fuzzy Logic: Theory and Applications Neural Networks, pp. 30\u201343, Springer (2008)","DOI":"10.1007\/978-3-540-76284-3"},{"key":"9_CR23","doi-asserted-by":"crossref","unstructured":"Castillo, O., Melin, P.: Simulation and forecasting complex economic time series using neural networks and fuzzy logic, Proceedings of the International Neural Networks Conference, vol. 3, pp. 1805\u20131810. San Diego (2001)","DOI":"10.1109\/IJCNN.2001.938436"},{"key":"9_CR24","doi-asserted-by":"crossref","unstructured":"Castillo, O., Melin P.: Simulation and forecasting complex financial time series using neural networks and fuzzy logic, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 4, pp. 2664\u20132669. Tucson, AZ ( 2001)","DOI":"10.1109\/ICSMC.2001.972967"},{"key":"9_CR25","unstructured":"Jang, J.S.R, Sun, C.T. Mizutani, E.: Neuro-Fuzzy and Sof Computing. Prentice Hall, New Jersey (1996)"},{"key":"9_CR26","unstructured":"Castillo, P.O., Gonzalez, S., Cota, J., Trujillo, W., Osuna, P.: Design of Modular Neural Networks with Fuzzy Integration Applied to Time Series Prediction. vol. 41, pp. 265\u2013273, Springer, Berlin (2007)"}],"container-title":["Studies in Computational Intelligence","Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-10960-2_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T18:55:26Z","timestamp":1746384926000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-10960-2_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,9,21]]},"ISBN":["9783319109596","9783319109602"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-10960-2_9","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2014,9,21]]},"assertion":[{"value":"21 September 2014","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}