{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T16:03:56Z","timestamp":1742918636003,"version":"3.40.3"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319624068"},{"type":"electronic","value":"9783319624075"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-62407-5_31","type":"book-chapter","created":{"date-parts":[[2017,7,14]],"date-time":"2017-07-14T11:16:58Z","timestamp":1500031018000},"page":"441-455","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Daily Temperature and Precipitation Prediction Using Neuro-Fuzzy Networks and Weather Generators"],"prefix":"10.1007","author":[{"given":"Vito","family":"Telesca","sequence":"first","affiliation":[]},{"given":"Donatella","family":"Caniani","sequence":"additional","affiliation":[]},{"given":"Stefania","family":"Calace","sequence":"additional","affiliation":[]},{"given":"Lucia","family":"Marotta","sequence":"additional","affiliation":[]},{"given":"Ignazio M.","family":"Mancini","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,7,15]]},"reference":[{"key":"31_CR1","unstructured":"Rahul, G.K., Khurana, M.: A comparative study review of soft computing approach in weather forecasting. Int. J. Soft Comput. Eng. (IJSCE), 2(5) (2012). ISSN: 2231\u20132307"},{"key":"31_CR2","unstructured":"Sharma, M., Mathew, L., Chatterji, S.: Weather forecasting using soft computing and statistical techniques. Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 3(7) (2014)"},{"key":"31_CR3","unstructured":"Marotta, L., Telesca, V.: A stochastic weather generator for daily climate variable analysis. IAHR Congress 2013 Tsinghua University Press, Beijing (2013)"},{"issue":"2004","key":"31_CR4","first-page":"286","volume":"289","author":"F Castellv\u00ec","year":"2003","unstructured":"Castellv\u00ec, F., Mormeneo, I., Perez, P.J.: Generation of daily amounts of precipitation from standard climatic data: a case study for Argentina. J. Hydrol. 289(2004), 286\u2013302 (2003)","journal-title":"J. Hydrol."},{"issue":"1","key":"31_CR5","first-page":"212","volume":"2","author":"M Amanullah","year":"2014","unstructured":"Amanullah, M., Khanaa, V.K.: Application of soft computing techniques in weather forecasting: ANN approach. Int. J. Adv. Res. 2(1), 212\u2013219 (2014)","journal-title":"Int. J. Adv. Res."},{"issue":"9\u201310","key":"31_CR6","first-page":"3097","volume":"46","author":"F Mekanik","year":"2015","unstructured":"Mekanik, F., Imteaz, M.A., Talei, A.: Seasonal rainfall forecasting by adaptive network\u2013based fuzzy inference system (ANFIS) using large scale climate signals. Clim. Dyn. 46(9\u201310), 3097\u20133111 (2015)","journal-title":"Clim. Dyn."},{"key":"31_CR7","doi-asserted-by":"crossref","unstructured":"Wang, L., Kisi, O., Zounemat-Kermani, M., Zhu, Z., Gong, W., Niu, Z., Liu, H., Liu, Z.: Prediction of solar radiation in China using different adaptive neuro-fuzzy methods and M5 model tree. Int. J. Climatol. (2016)","DOI":"10.1002\/joc.4762"},{"key":"31_CR8","unstructured":"Liu, J., Wang, X., Lu, Y.: A novel hybrid methodology for short-term wind power forecasting based on adaptive neuro-fuzzy inference system. Renew. Energy 1\u201310 (2016)"},{"key":"31_CR9","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/s00703-010-0104-x","volume":"110","author":"M Bilgili","year":"2010","unstructured":"Bilgili, M.: Prediction of soil temperature using regression and artificial neural network models. Meteorol. Atmos. Phys. 110, 59\u201370 (2010)","journal-title":"Meteorol. Atmos. Phys."},{"issue":"12","key":"31_CR10","doi-asserted-by":"publisher","first-page":"343","DOI":"10.14257\/ijmue.2014.9.12.31","volume":"9","author":"L Al-Matarneh","year":"2014","unstructured":"Al-Matarneh, L., Sheta, A., Bani-Ahmad, S., Alshaer, J., Al-Oqily, I.: Development of temperature-based weather forecasting models using neural networks and fuzzy logic. Int. J. Multimedia Ubiquit. Eng. 9(12), 343\u2013366 (2014)","journal-title":"Int. J. Multimedia Ubiquit. Eng."},{"issue":"1","key":"31_CR11","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1002\/joc.3676","volume":"34","author":"O Kisi","year":"2014","unstructured":"Kisi, O., Shiri, J.: Prediction of long-term monthly air temperature using geographical inputs. Int. J. Climatol. 34(1), 179\u2013186 (2014)","journal-title":"Int. J. Climatol."},{"key":"31_CR12","doi-asserted-by":"crossref","unstructured":"Kotsiantis, S., Kostoulas, A., Lykoudis, S., Argiriou, A., Menagias, K.: Filling missing temperature values in weather data banks. In: 2nd IET International Conference on Intelligent Environments (2006)","DOI":"10.1049\/cp:20060659"},{"issue":"3","key":"31_CR13","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1016\/j.wasman.2010.09.012","volume":"31","author":"D Caniani","year":"2011","unstructured":"Caniani, D., Lioi, D.S., Mancini, I.M., Masi, S.: Application of fuzzy logic and sensitivity analysis for soil contamination hazard classification. Waste Manag. 31(3), 583\u2013594 (2011)","journal-title":"Waste Manag."},{"issue":"2","key":"31_CR14","doi-asserted-by":"publisher","first-page":"395","DOI":"10.5194\/nhess-13-395-2013","volume":"13","author":"F Sdao","year":"2013","unstructured":"Sdao, F., Lioi, D.S., Pascale, S., Caniani, D., Mancini, I.M.: Landslide susceptibility assessment by using a neuro-fuzzy model: a case study in the Rupestrian heritage rich area of Matera. Nat. Hazards Earth Syst. Sci. 13(2), 395\u2013407 (2013)","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"31_CR15","doi-asserted-by":"crossref","unstructured":"Roger, J.: ANFIS: adaptive \u2013 network \u2013 based fuzzy inference system. Trans. Syst. Man Cybern. 23(3) (1993)","DOI":"10.1109\/21.256541"},{"issue":"3","key":"31_CR16","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/S0168-1923(98)00125-7","volume":"93","author":"DS Wilks","year":"1999","unstructured":"Wilks, D.S.: Interannual variability and extreme-value characteristics of several stochastic daily precipitation models. Agric. For. Meteorol. 93(3), 153\u2013169 (1999)","journal-title":"Agric. For. Meteorol."},{"issue":"11","key":"31_CR17","doi-asserted-by":"publisher","first-page":"2733","DOI":"10.1029\/WR026i011p02733","volume":"26","author":"JS Selker","year":"1990","unstructured":"Selker, J.S., Haith, D.A.: Development and testing of simple parameter precipitation distributions. Water Resour. Res. 26(11), 2733\u20132740 (1990)","journal-title":"Water Resour. Res."},{"key":"31_CR18","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1093\/biomet\/64.1.129","volume":"64","author":"RN Rodriguez","year":"1977","unstructured":"Rodriguez, R.N.: A guide to the Burr type XII distributions. Biometrika 64, 129\u2013134 (1977)","journal-title":"Biometrika"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2017"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-62407-5_31","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:07:17Z","timestamp":1710266837000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-62407-5_31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319624068","9783319624075"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-62407-5_31","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"15 July 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Trieste","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 July 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}