{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T00:44:50Z","timestamp":1768265090813,"version":"3.49.0"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319569901","type":"print"},{"value":"9783319569918","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,8,23]],"date-time":"2017-08-23T00:00:00Z","timestamp":1503446400000},"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":[[2018]]},"DOI":"10.1007\/978-3-319-56991-8_35","type":"book-chapter","created":{"date-parts":[[2017,8,22]],"date-time":"2017-08-22T03:57:16Z","timestamp":1503374236000},"page":"463-476","source":"Crossref","is-referenced-by-count":5,"title":["Short-Term Localized Weather Forecasting by Using Different Artificial Neural Network Algorithm in Tropical Climate"],"prefix":"10.1007","author":[{"given":"Noor Zuraidin","family":"Mohd-Safar","sequence":"first","affiliation":[]},{"given":"David","family":"Ndzi","sequence":"additional","affiliation":[]},{"given":"Ioannis","family":"Kagalidis","sequence":"additional","affiliation":[]},{"given":"Yanyang","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Ammar","family":"Zakaria","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,23]]},"reference":[{"key":"35_CR1","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.compag.2014.04.012","volume":"105","author":"DL Ndzi","year":"2014","unstructured":"Ndzi, D.L., Harun, A., Ramli, F.M., Kamarudin, M.L., Zakaria, A., Shakaff, A.Y.M., Jaafar, M.N., Zhou, S., Farook, R.S.: Wireless sensor network coverage measurement and planning in mixed crop farming. Comput. Electron. Agric. 105, 83\u201394 (2014)","journal-title":"Comput. Electron. Agric."},{"issue":"5","key":"35_CR2","first-page":"295","volume":"2","author":"G.K Rahul","year":"2012","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), 295\u2013299 (2012)","journal-title":"Int.  J. Soft Comput. Eng. (IJSCE)"},{"issue":"1","key":"35_CR3","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1214\/ss\/1177010638","volume":"9","author":"B Cheng","year":"1994","unstructured":"Cheng, B., Titterington, D.M.: Neural networks: a review from a statistical perspective. Stat. Sci. 9(1), 2\u201330 (1994)","journal-title":"Stat. Sci."},{"key":"35_CR4","doi-asserted-by":"crossref","unstructured":"Nikam, V.B., Meshram, B.B.: Modeling rainfall prediction using data mining method: a Bayesian approach. In: 2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation, pp. 132\u2013136 (2013)","DOI":"10.1109\/CIMSim.2013.29"},{"issue":"5","key":"35_CR5","first-page":"556","volume":"5","author":"A Shahi","year":"2009","unstructured":"Shahi, A.: An effective fuzzy C-Mean and Type-2 Fuzzy. J. Theor. Appl. Inf. Technol. 5(5), 556\u2013567 (2009)","journal-title":"J. Theor. Appl. Inf. Technol."},{"key":"35_CR6","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1007\/s00521-004-0413-4","volume":"13","author":"I Maqsood","year":"2004","unstructured":"Maqsood, I., Khan, M., Abraham, A.: An ensemble of neural networks for weather forecasting. Neural Comput. Appl. 13, 112\u2013122 (2004)","journal-title":"Neural Comput. Appl."},{"key":"35_CR7","unstructured":"Paras, S.M., Kumar, A., Chandra, M.: A feature based neural network model for weather forecasting. Int. J. Comput. Intell. 4(3) (2009)"},{"issue":"2","key":"35_CR8","first-page":"275","volume":"28","author":"M Hayati","year":"2007","unstructured":"Hayati, M., Mohebi, Z.: Application of artificial neural networks for temperature forecasting. World Acad. Sci. Eng. Technol. 28(2), 275\u2013279 (2007)","journal-title":"World Acad. Sci. Eng. Technol."},{"key":"35_CR9","doi-asserted-by":"crossref","unstructured":"Hossain, M., Rekabdar, B., Louis, S.J., Dascalu, S.: Forecasting the weather of Nevada: a deep learning approach. In: Proceedings of the International Joint Conference on Neural Networks, vol. 2015, pp. 2\u20137, September 2015","DOI":"10.1109\/IJCNN.2015.7280812"},{"key":"35_CR10","doi-asserted-by":"crossref","unstructured":"LeCun, Y.A., Bottou, L., Orr, G.B., M\u00fcller, K.R.: Efficient backprop. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) LNCS, vol. 7700, pp. 9\u201348 (2012)","DOI":"10.1007\/978-3-642-35289-8_3"},{"key":"35_CR11","unstructured":"Abraham, A., Philip, N.S., Joseph, K.B.: Will We Have a Wet Summer\u202f? Soft Computing Models for Long-term Rainfall Forecasting (1992)"},{"key":"35_CR12","doi-asserted-by":"crossref","unstructured":"Foresee, F.D., Hagan, M.T.: Gauss-Newton approximation to Bayesian learning. In: Proceedings of International Conference on Neural Networks (ICNN 1997) (1997)","DOI":"10.1109\/ICNN.1997.614194"},{"issue":"2","key":"35_CR13","first-page":"287","volume":"77","author":"V Pellakuri","year":"2015","unstructured":"Pellakuri, V., Rao, D.R., Prasanna, P.L., Santhi, M.V.B.T.: A conceptual framework for approaching predictive modeling using multivariate regression analysis vs artificial neural network. J. Theor. Appl. Inf. Technol. 77(2), 287\u2013290 (2015)","journal-title":"J. Theor. Appl. Inf. Technol."},{"key":"35_CR14","doi-asserted-by":"crossref","unstructured":"Mor\u00e9, J.J.: The Levenberg-Marquardt algorithm: implementation and theory. In: Lecture Notes in Mathematics, Springer, pp. 105\u2013116 (1978)","DOI":"10.1007\/BFb0067700"},{"issue":"3","key":"35_CR15","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1162\/neco.1992.4.3.448","volume":"4","author":"DJC MacKay","year":"1992","unstructured":"MacKay, D.J.C.: A practical Bayesian framework for backpropagation networks. Neural Comput. 4(3), 448\u2013472 (1992)","journal-title":"Neural Comput."},{"issue":"3","key":"35_CR16","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1162\/neco.1992.4.3.415","volume":"4","author":"DJC MacKay","year":"1992","unstructured":"MacKay, D.J.C.: Bayesian interpolation. Neural Comput. 4(3), 415\u2013447 (1992)","journal-title":"Neural Comput."},{"issue":"CS-94\u2013125","key":"35_CR17","first-page":"64","volume":"49","author":"JR Shewchuk","year":"1994","unstructured":"Shewchuk, J.R.: An introduction to the conjugate gradient method without the agonizing pain. Science 49(CS-94\u2013125), 64 (1994)","journal-title":"Science"},{"issue":"4","key":"35_CR18","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1016\/S0893-6080(05)80056-5","volume":"6","author":"MF M\u00f8ller","year":"1993","unstructured":"M\u00f8ller, M.F.: A scaled conjugate gradient algorithm for fast supervised learning. Neural Netw. 6(4), 525\u2013533 (1993)","journal-title":"Neural Netw."},{"key":"35_CR19","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1175\/1520-0442(2001)014<0853:AOICDE>2.0.CO;2","volume":"14","author":"T Schneider","year":"2001","unstructured":"Schneider, T.: Analysis of incomplete climate data: estimation of mean values and covariance matrices and imputation of missing values. J. Clim. 14, 853\u2013871 (2001)","journal-title":"J. Clim."},{"issue":"3","key":"35_CR20","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/s11634-011-0086-7","volume":"5","author":"J Josse","year":"2011","unstructured":"Josse, J., Pages, J., Husson, F.: Multiple imputation in principal component analysis. Adv. Data Anal. Classif. 5(3), 231\u2013246 (2011)","journal-title":"Adv. Data Anal. Classif."},{"key":"35_CR21","doi-asserted-by":"crossref","DOI":"10.1201\/9781420057744","volume-title":"Statistics for Environmental Science and Management","author":"B Manly","year":"2000","unstructured":"Manly, B.: Statistics for Environmental Science and Management. Chapman and Hall\/CRCM, Boca Raton (2000)"},{"key":"35_CR22","unstructured":"Howard Demuth, M.B., Hagan, M.: Neural network toolbox user\u2019s guide\u2019 (2012)"},{"issue":"2","key":"35_CR23","doi-asserted-by":"crossref","first-page":"87","DOI":"10.2478\/v10117-011-0021-1","volume":"30","author":"J Hauke","year":"2011","unstructured":"Hauke, J., Kossowski, T.: Comparison of values of Pearson\u2019s and Spearman\u2019s correlation coefficients on the same sets of data. Quaestiones Geographicae 30(2), 87\u201393 (2011)","journal-title":"Quaestiones Geographicae"}],"container-title":["Lecture Notes in Networks and Systems","Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-56991-8_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,8,22]],"date-time":"2017-08-22T04:13:29Z","timestamp":1503375209000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-56991-8_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,23]]},"ISBN":["9783319569901","9783319569918"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-56991-8_35","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,23]]}}}