{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T13:13:35Z","timestamp":1722950015342},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,2,20]],"date-time":"2020-02-20T00:00:00Z","timestamp":1582156800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,2,20]],"date-time":"2020-02-20T00:00:00Z","timestamp":1582156800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Evol. Intel."],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1007\/s12065-020-00365-0","type":"journal-article","created":{"date-parts":[[2020,2,20]],"date-time":"2020-02-20T11:02:58Z","timestamp":1582196578000},"page":"643-655","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Analysis of net asset value prediction using low complexity neural network with various expansion techniques"],"prefix":"10.1007","volume":"14","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-9707-0424","authenticated-orcid":false,"given":"Minakhi","family":"Rout","sequence":"first","affiliation":[]},{"given":"Koffi Mawuna","family":"Koudjonou","sequence":"additional","affiliation":[]},{"given":"Suresh Chandra","family":"Satapathy","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,20]]},"reference":[{"key":"365_CR1","doi-asserted-by":"crossref","unstructured":"Anish CM, Majhi B (2015) An ensemble model for net asset value prediction. In: 2015 IEEE Power, communication and information technology conference (PCITC). IEEE, pp 392\u2013396","DOI":"10.1109\/PCITC.2015.7438197"},{"issue":"2","key":"365_CR2","first-page":"2222","volume":"4","author":"CM Anish","year":"2015","unstructured":"Anish CM, Majhi B (2015) Net asset value prediction using FLANN model. Int J Sci Res IJSR 4(2):2222\u20132227","journal-title":"Int J Sci Res IJSR"},{"key":"365_CR3","doi-asserted-by":"crossref","unstructured":"Anish CM, Majhi B (2016) Prediction of mutual fund net asset value using low complexity feedback neural network. In: 2016 IEEE international conference on current trends in advanced computing (ICCTAC). IEEE, pp 1\u20135","DOI":"10.1109\/ICCTAC.2016.7567345"},{"issue":"3","key":"365_CR4","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.jfds.2016.12.002","volume":"2","author":"CM Anish","year":"2016","unstructured":"Anish CM, Majhi B, Majhi R (2016) Development and evaluation of novel forecasting adaptive ensemble model. J Finance Data Sci 2(3):188\u2013201","journal-title":"J Finance Data Sci"},{"issue":"2","key":"365_CR5","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1016\/0305-0483(95)00059-3","volume":"24","author":"WC Chiang","year":"1996","unstructured":"Chiang WC, Urban TL, Baldridge G (1996) A neural network fund net asset approach to mutual value forecasting. Omega 24(2):205\u2013215","journal-title":"Omega"},{"key":"365_CR6","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.knosys.2019.03.011","volume":"175","author":"SDO Domingos","year":"2019","unstructured":"Domingos SDO, de Oliveira JF, de Mattos Neto PS (2019) An intelligent hybridization of ARIMA with machine learning models for time series forecasting. Knowl Based Syst 175:72\u201386","journal-title":"Knowl Based Syst"},{"key":"365_CR7","doi-asserted-by":"publisher","first-page":"830","DOI":"10.1016\/j.knosys.2018.10.009","volume":"163","author":"A Galicia","year":"2019","unstructured":"Galicia A, Talavera-Llames R, Troncoso A, Koprinska I, Mart\u00ednez-\u00c1lvarez F (2019) Multi-step forecasting for big data time series based on ensemble learning. Knowl Based Syst 163:830\u2013841","journal-title":"Knowl Based Syst"},{"key":"365_CR8","doi-asserted-by":"publisher","first-page":"104785","DOI":"10.1016\/j.knosys.2019.05.028","volume":"181","author":"Y Li","year":"2019","unstructured":"Li Y, Zhu Z, Kong D, Han H, Zhao Y (2019) EA-LSTM: evolutionary attention-based LSTM for time series prediction. Knowl Based Syst 181:104785","journal-title":"Knowl Based Syst"},{"key":"365_CR9","unstructured":"Lin HS, Chen ML, Tong CC, Dai JW (2007) Using grey and RBFNN to predict the net asset value of single nation equity funds-a case study of Taiwan, US, and Japan. In: 2007 IEEE international conference on grey systems and intelligent services. IEEE, pp 892\u2013897"},{"key":"365_CR10","doi-asserted-by":"crossref","unstructured":"Mili F, Hamdi M (2013) A comparative study of expansion functions for evolutionary hybrid functional link artificial neural networks for data mining and classification. In: 2013 international conference on computer applications technology (ICCAT). IEEE, pp 1\u20138","DOI":"10.1109\/ICCAT.2013.6521977"},{"key":"365_CR11","first-page":"227","volume":"3","author":"A Narula","year":"2015","unstructured":"Narula A, Jha CB, Panda G (2015) Development and performance evaluation of three novel prediction models for mutual fund NAV prediction. Ann Res J Symbiosis Centre Manag Stud 3:227\u2013238","journal-title":"Ann Res J Symbiosis Centre Manag Stud"},{"key":"365_CR12","volume-title":"Adaptive pattern recognition and neural networks","author":"YH Pao","year":"1989","unstructured":"Pao YH (1989) Adaptive pattern recognition and neural networks. Addison-Wesley, Reading, MA"},{"issue":"2","key":"365_CR13","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1080\/00207179208934315","volume":"56","author":"YH Pao","year":"1992","unstructured":"Pao YH, Phillips SM, Sobajic DJ (1992) Neural-net computing and the intelligent control of systems. Int J Control 56(2):263\u2013289","journal-title":"Int J Control"},{"issue":"2","key":"365_CR14","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/0165-1684(94)00152-P","volume":"43","author":"JC Patra","year":"1995","unstructured":"Patra JC, Pal RN (1995) A functional link artificial neural network for adaptive channel equalization. Signal Process 43(2):181\u2013195","journal-title":"Signal Process"},{"issue":"2","key":"365_CR15","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1109\/3477.752797","volume":"29","author":"JC Patra","year":"1999","unstructured":"Patra JC, Pal RN, Chatterji BN, Panda G (1999) Identification of nonlinear dynamic systems using functional link artificial neural networks. IEEE Trans Syst Man Cybern Part B Cybern 29(2):254\u2013262","journal-title":"IEEE Trans Syst Man Cybern Part B Cybern"},{"key":"365_CR16","unstructured":"Panda G, Das DP (2003) Functional link artificial neural network for active control of nonlinear noise processes. In: Proceedings of international workshop on acoustic echo and noise control, pp 163\u2013166"},{"issue":"5","key":"365_CR17","doi-asserted-by":"publisher","first-page":"347","DOI":"10.7763\/IJTEF.2012.V3.225","volume":"3","author":"E Priyadarshini","year":"2012","unstructured":"Priyadarshini E, Babu AC (2012) A comparative analysis for forecasting the NAV\u2019s of indian mutual fund using multiple regression analysis and artificial neural networks. Int J Trade Econ Finance 3(5):347","journal-title":"Int J Trade Econ Finance"},{"issue":"7","key":"365_CR18","first-page":"3078","volume":"10","author":"E Priyadarshini","year":"2015","unstructured":"Priyadarshini E (2015) A comparative analysis of prediction using Artificial Neural network and auto regressive integrated moving average. ARPN J Eng Appl Sci 10(7):3078\u20133081","journal-title":"ARPN J Eng Appl Sci"},{"issue":"6","key":"365_CR19","first-page":"126","volume":"9","author":"BT Rao","year":"2009","unstructured":"Rao BT, Sameet B, Swathi GK, Gupta KV, RaviTeja C, Sumana S (2009) A novel neural network approach for software cost estimation using Functional Link Artificial Neural Network (FLANN). Int J Comput Sci Netw Secur 9(6):126\u2013131","journal-title":"Int J Comput Sci Netw Secur"},{"key":"365_CR20","doi-asserted-by":"crossref","unstructured":"Ray P, Vina V (2004) Neural network models for forecasting mutual fund net asset value. In: 8th capital markets conference, Indian Institute of Capital Markets Paper","DOI":"10.2139\/ssrn.872269"},{"key":"365_CR21","doi-asserted-by":"crossref","unstructured":"Shen Z, Zhang Y, Lu J, Xu J, Xiao G (2019) A novel time series forecasting model with deep learning. Neurocomputing","DOI":"10.1109\/IJCNN.2018.8489522"},{"key":"365_CR22","doi-asserted-by":"publisher","first-page":"121261","DOI":"10.1016\/j.physa.2019.121261","volume":"527","author":"S Takahashi","year":"2019","unstructured":"Takahashi S, Chen Y, Tanaka-Ishii K (2019) Modeling financial time-series with generative adversarial networks. Physica A Stat Mech Appl 527:121261","journal-title":"Physica A Stat Mech Appl"},{"key":"365_CR23","unstructured":"Yan H, Liu W, Liu X, Kong H, Lv C (2010) Predicting net asset value of investment fund based on BP neural network. In: 2010 international conference on computer application and system modeling (ICCASM 2010), vol 10. IEEE, pp\u00a0V10\u2013635"}],"container-title":["Evolutionary Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-020-00365-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12065-020-00365-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-020-00365-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,31]],"date-time":"2021-05-31T06:27:24Z","timestamp":1622442444000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12065-020-00365-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,20]]},"references-count":23,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,6]]}},"alternative-id":["365"],"URL":"https:\/\/doi.org\/10.1007\/s12065-020-00365-0","relation":{},"ISSN":["1864-5909","1864-5917"],"issn-type":[{"value":"1864-5909","type":"print"},{"value":"1864-5917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,20]]},"assertion":[{"value":"26 August 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 January 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 February 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 February 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}