Approximation and Prediction of Wages Based on Granular Neural Network View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2008

AUTHORS

Milan Marček , Dušan Marček

ABSTRACT

This article offers a detailed computational algorithm used in that type of neural networks, extends their applications to fit and predict the data of wages time series, conducts experiments and indicates the gain of granular neural networks, specifically conducting experimentation using the classical (statistical) or econometric methods and conventional/soft RBF neural networks. Results are analysed and opportunities for future research are suggested. More... »

PAGES

556-563

References to SciGraph publications

  • 2007. Granular Computing and Rough Set Theory in ROUGH SETS AND INTELLIGENT SYSTEMS PARADIGMS
  • 2007. RBF Neural Network Implementation of Fuzzy Systems: Application to Time Series Modeling in ROUGH SETS, FUZZY SETS, DATA MINING AND GRANULAR COMPUTING
  • Book

    TITLE

    Rough Sets and Knowledge Technology

    ISBN

    978-3-540-79720-3
    978-3-540-79721-0

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-540-79721-0_75

    DOI

    http://dx.doi.org/10.1007/978-3-540-79721-0_75

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1047552676


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0104", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Statistics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Mathematical Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Faculty of Philosophy and Science, Silesian University, 746 01 0pava, Czech Republic & MEDIS Nitra, Ltd., Pri Dobrotke 659/81, 949 01, Nitra-Dra\u017eovce, Slovak Republic"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mar\u010dek", 
            "givenName": "Milan", 
            "id": "sg:person.010734101301.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010734101301.08"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of \u017dilina", 
              "id": "https://www.grid.ac/institutes/grid.7960.8", 
              "name": [
                "Faculty of Philosophy and Science, Silesian University, 746 01 0pava, Czech Republic & Faculty of Management Science and Informatics, University of Zilina, 010 26 Zilina, Slovak Republic"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mar\u010dek", 
            "givenName": "Du\u0161an", 
            "id": "sg:person.01212440445.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212440445.83"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/j.ejor.2003.08.037", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002548461"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-73451-2_1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011506793", 
              "https://doi.org/10.1007/978-3-540-73451-2_1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-72530-5_60", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028476193", 
              "https://doi.org/10.1007/978-3-540-72530-5_60"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-3-540-72530-5_60", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028476193", 
              "https://doi.org/10.1007/978-3-540-72530-5_60"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cor.2004.02.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030390577"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2008", 
        "datePublishedReg": "2008-01-01", 
        "description": "This article offers a detailed computational algorithm used in that type of neural networks, extends their applications to fit and predict the data of wages time series, conducts experiments and indicates the gain of granular neural networks, specifically conducting experimentation using the classical (statistical) or econometric methods and conventional/soft RBF neural networks. Results are analysed and opportunities for future research are suggested.", 
        "editor": [
          {
            "familyName": "Wang", 
            "givenName": "Guoyin", 
            "type": "Person"
          }, 
          {
            "familyName": "Li", 
            "givenName": "Tianrui", 
            "type": "Person"
          }, 
          {
            "familyName": "Grzymala-Busse", 
            "givenName": "Jerzy W.", 
            "type": "Person"
          }, 
          {
            "familyName": "Miao", 
            "givenName": "Duoqian", 
            "type": "Person"
          }, 
          {
            "familyName": "Skowron", 
            "givenName": "Andrzej", 
            "type": "Person"
          }, 
          {
            "familyName": "Yao", 
            "givenName": "Yiyu", 
            "type": "Person"
          }
        ], 
        "genre": "chapter", 
        "id": "sg:pub.10.1007/978-3-540-79721-0_75", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": {
          "isbn": [
            "978-3-540-79720-3", 
            "978-3-540-79721-0"
          ], 
          "name": "Rough Sets and Knowledge Technology", 
          "type": "Book"
        }, 
        "name": "Approximation and Prediction of Wages Based on Granular Neural Network", 
        "pagination": "556-563", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/978-3-540-79721-0_75"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "e286e637bf90139c0e304e01bc41b627034c3011dcb819485162b66bd1b79494"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1047552676"
            ]
          }
        ], 
        "publisher": {
          "location": "Berlin, Heidelberg", 
          "name": "Springer Berlin Heidelberg", 
          "type": "Organisation"
        }, 
        "sameAs": [
          "https://doi.org/10.1007/978-3-540-79721-0_75", 
          "https://app.dimensions.ai/details/publication/pub.1047552676"
        ], 
        "sdDataset": "chapters", 
        "sdDatePublished": "2019-04-16T06:04", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000349_0000000349/records_113670_00000001.jsonl", 
        "type": "Chapter", 
        "url": "https://link.springer.com/10.1007%2F978-3-540-79721-0_75"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-79721-0_75'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-79721-0_75'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-79721-0_75'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-540-79721-0_75'


     

    This table displays all metadata directly associated to this object as RDF triples.

    113 TRIPLES      23 PREDICATES      31 URIs      20 LITERALS      8 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/978-3-540-79721-0_75 schema:about anzsrc-for:01
    2 anzsrc-for:0104
    3 schema:author N99c8bfe75e924a239459a38d4e9df249
    4 schema:citation sg:pub.10.1007/978-3-540-72530-5_60
    5 sg:pub.10.1007/978-3-540-73451-2_1
    6 https://doi.org/10.1016/j.cor.2004.02.006
    7 https://doi.org/10.1016/j.ejor.2003.08.037
    8 schema:datePublished 2008
    9 schema:datePublishedReg 2008-01-01
    10 schema:description This article offers a detailed computational algorithm used in that type of neural networks, extends their applications to fit and predict the data of wages time series, conducts experiments and indicates the gain of granular neural networks, specifically conducting experimentation using the classical (statistical) or econometric methods and conventional/soft RBF neural networks. Results are analysed and opportunities for future research are suggested.
    11 schema:editor N8e1081cf51f54775a4a5367d073904d4
    12 schema:genre chapter
    13 schema:inLanguage en
    14 schema:isAccessibleForFree false
    15 schema:isPartOf N0231bc92bc814abfbca9798fa4a5d235
    16 schema:name Approximation and Prediction of Wages Based on Granular Neural Network
    17 schema:pagination 556-563
    18 schema:productId Na6815e490dd44d99ac77cc88d9b1ce7c
    19 Nc701eb730f5e4ebdb88342d2737bf15a
    20 Ne25959bde7c745c38ff2d346df0b4a30
    21 schema:publisher N760e86c6938343d680e54bdd7625a1fc
    22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047552676
    23 https://doi.org/10.1007/978-3-540-79721-0_75
    24 schema:sdDatePublished 2019-04-16T06:04
    25 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    26 schema:sdPublisher N8aa65cadb459405594cf5fda5f0159aa
    27 schema:url https://link.springer.com/10.1007%2F978-3-540-79721-0_75
    28 sgo:license sg:explorer/license/
    29 sgo:sdDataset chapters
    30 rdf:type schema:Chapter
    31 N0231bc92bc814abfbca9798fa4a5d235 schema:isbn 978-3-540-79720-3
    32 978-3-540-79721-0
    33 schema:name Rough Sets and Knowledge Technology
    34 rdf:type schema:Book
    35 N18ad15a64ca447a5afb7956f917c96e2 rdf:first Nbc1dd9e0ffac4720b9b8324db4ac362a
    36 rdf:rest Ndee4467abc174e659b9bd6e56da9cb54
    37 N1e65d6a7a90c4f479f9f16df80acb98d rdf:first N9f2a0def4e9942188d0aa19c4f767977
    38 rdf:rest N712872277e9f4faa9388796a8fea396c
    39 N56a564db4f5c4f7994b80545130990b8 rdf:first N82d6a01db7224a88a70786e62f89e1c7
    40 rdf:rest rdf:nil
    41 N56a8e7047e6d419aa9db47f720fb1ffa schema:familyName Wang
    42 schema:givenName Guoyin
    43 rdf:type schema:Person
    44 N712872277e9f4faa9388796a8fea396c rdf:first N9d54b6efa19c4f8b98503ab9fc68fa21
    45 rdf:rest N56a564db4f5c4f7994b80545130990b8
    46 N760e86c6938343d680e54bdd7625a1fc schema:location Berlin, Heidelberg
    47 schema:name Springer Berlin Heidelberg
    48 rdf:type schema:Organisation
    49 N82d6a01db7224a88a70786e62f89e1c7 schema:familyName Yao
    50 schema:givenName Yiyu
    51 rdf:type schema:Person
    52 N8aa65cadb459405594cf5fda5f0159aa schema:name Springer Nature - SN SciGraph project
    53 rdf:type schema:Organization
    54 N8e1081cf51f54775a4a5367d073904d4 rdf:first N56a8e7047e6d419aa9db47f720fb1ffa
    55 rdf:rest N18ad15a64ca447a5afb7956f917c96e2
    56 N90454fb23adb45b39a7025decf772e5e schema:familyName Grzymala-Busse
    57 schema:givenName Jerzy W.
    58 rdf:type schema:Person
    59 N99c8bfe75e924a239459a38d4e9df249 rdf:first sg:person.010734101301.08
    60 rdf:rest Nda546f5e6eb042adbe0d675317951eb5
    61 N9d54b6efa19c4f8b98503ab9fc68fa21 schema:familyName Skowron
    62 schema:givenName Andrzej
    63 rdf:type schema:Person
    64 N9f2a0def4e9942188d0aa19c4f767977 schema:familyName Miao
    65 schema:givenName Duoqian
    66 rdf:type schema:Person
    67 Na6815e490dd44d99ac77cc88d9b1ce7c schema:name doi
    68 schema:value 10.1007/978-3-540-79721-0_75
    69 rdf:type schema:PropertyValue
    70 Nbc1dd9e0ffac4720b9b8324db4ac362a schema:familyName Li
    71 schema:givenName Tianrui
    72 rdf:type schema:Person
    73 Nc701eb730f5e4ebdb88342d2737bf15a schema:name dimensions_id
    74 schema:value pub.1047552676
    75 rdf:type schema:PropertyValue
    76 Nda546f5e6eb042adbe0d675317951eb5 rdf:first sg:person.01212440445.83
    77 rdf:rest rdf:nil
    78 Ndee4467abc174e659b9bd6e56da9cb54 rdf:first N90454fb23adb45b39a7025decf772e5e
    79 rdf:rest N1e65d6a7a90c4f479f9f16df80acb98d
    80 Ne25959bde7c745c38ff2d346df0b4a30 schema:name readcube_id
    81 schema:value e286e637bf90139c0e304e01bc41b627034c3011dcb819485162b66bd1b79494
    82 rdf:type schema:PropertyValue
    83 Nfb8708dae5944b50b633313e6ba15212 schema:name Faculty of Philosophy and Science, Silesian University, 746 01 0pava, Czech Republic & MEDIS Nitra, Ltd., Pri Dobrotke 659/81, 949 01, Nitra-Dražovce, Slovak Republic
    84 rdf:type schema:Organization
    85 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
    86 schema:name Mathematical Sciences
    87 rdf:type schema:DefinedTerm
    88 anzsrc-for:0104 schema:inDefinedTermSet anzsrc-for:
    89 schema:name Statistics
    90 rdf:type schema:DefinedTerm
    91 sg:person.010734101301.08 schema:affiliation Nfb8708dae5944b50b633313e6ba15212
    92 schema:familyName Marček
    93 schema:givenName Milan
    94 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010734101301.08
    95 rdf:type schema:Person
    96 sg:person.01212440445.83 schema:affiliation https://www.grid.ac/institutes/grid.7960.8
    97 schema:familyName Marček
    98 schema:givenName Dušan
    99 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01212440445.83
    100 rdf:type schema:Person
    101 sg:pub.10.1007/978-3-540-72530-5_60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028476193
    102 https://doi.org/10.1007/978-3-540-72530-5_60
    103 rdf:type schema:CreativeWork
    104 sg:pub.10.1007/978-3-540-73451-2_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011506793
    105 https://doi.org/10.1007/978-3-540-73451-2_1
    106 rdf:type schema:CreativeWork
    107 https://doi.org/10.1016/j.cor.2004.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030390577
    108 rdf:type schema:CreativeWork
    109 https://doi.org/10.1016/j.ejor.2003.08.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002548461
    110 rdf:type schema:CreativeWork
    111 https://www.grid.ac/institutes/grid.7960.8 schema:alternateName University of Žilina
    112 schema:name Faculty of Philosophy and Science, Silesian University, 746 01 0pava, Czech Republic & Faculty of Management Science and Informatics, University of Zilina, 010 26 Zilina, Slovak Republic
    113 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...