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Application of non-probabilistic information

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Title: Application of non-probabilistic information
Authors: Pappalardo, M. pappalardo@unisa.it, Pellegrino, A.1
Source: Journal of Materials Processing Technology. Dec2004, Vol. 157-158, p232-235. 4p.
Subjects: Manufacturing processes, Polynomials, Mathematical optimization, Problem solving
Abstract: Abstract: In this paper we analyse the applications of MaxInf principle in a real problem of optimisation of a typical industrial manufacturing. After we reminded the theory of information we examine an example where is possible to determine a polynomial equation that approximates a set of value with a constant deviation that represents the same error for every point or the same information. [Copyright &y& Elsevier]
Copyright of Journal of Materials Processing Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 15838201
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Application of non-probabilistic information
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  Data: Abstract: In this paper we analyse the applications of MaxInf principle in a real problem of optimisation of a typical industrial manufacturing. After we reminded the theory of information we examine an example where is possible to determine a polynomial equation that approximates a set of value with a constant deviation that represents the same error for every point or the same information. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of Materials Processing Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=15838201
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      – Type: doi
        Value: 10.1016/j.jmatprotec.2004.09.035
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      – Code: eng
        Text: English
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        PageCount: 4
        StartPage: 232
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      – SubjectFull: Manufacturing processes
        Type: general
      – SubjectFull: Polynomials
        Type: general
      – SubjectFull: Mathematical optimization
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      – SubjectFull: Problem solving
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              Text: Dec2004
              Type: published
              Y: 2004
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              Value: 157-158
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