Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/42517
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dc.contributor.authorLiang, Qingwei-
dc.contributor.authorZhao, Minquan-
dc.contributor.authorWang, Mengni-
dc.date.accessioned2017-08-03T06:23:11Z-
dc.date.available2017-08-03T06:23:11Z-
dc.date.issued2017-08-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/42517-
dc.description1621-1626en_US
dc.description.abstractCumulative curve of development cost for torpedo shows similar to shape S. Then grey Verhulst model of development cost for torpedo can be established by collecting the development cost historical data for several years. The fitted values and the predictive value can be gotten. To take full advantage of information contains in the historical data, a mapping between historical data and the predictive value using BP neural networks can be found through BP Neural Networks. Example shows that this method has good prediction accuracy.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.46(08) [August 2017]en_US
dc.subjectDevelopment costen_US
dc.subjectBP neural networksen_US
dc.subjectGrey Verhulst modelen_US
dc.subjectTorpedoen_US
dc.titleGrey forecast model for torpedo development cost based on neural networken_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.46(08) [August 2017]

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