Neural Computing and Applications View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1993

PUBLISHER

Springer London

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/521

Recent publications latest 20 shown

  • 2019-04-12 Evaluation of effective stiffness of RC column sections by support vector regression approach
  • 2019-04-11 Hybrid intrusion detection and signature generation using Deep Recurrent Neural Networks
  • 2019-04-11 Hybridization of two metaheuristics for solving the combined economic and emission dispatch problem
  • 2019-04-11 A wrapper-filter feature selection technique based on ant colony optimization
  • 2019-04-11 Opposition-based antlion optimizer using Cauchy distribution and its application to data clustering problem
  • 2019-04-10 Productive service demands modularization for CNC machine tools based on the improved AP clustering algorithm
  • 2019-04-10 Exploiting flower constancy in flower pollination algorithm: improved biotic flower pollination algorithm and its experimental evaluation
  • 2019-04-09 Research on path planning of mobile robot based on improved ant colony algorithm
  • 2019-04-09 Reinforcement learning and adaptive optimization of a class of Markov jump systems with completely unknown dynamic information
  • 2019-04-09 Monte Carlo uncertainty analysis of an ANN-based spectral analysis method
  • 2019-04-08 Auto-MeDiSine: an auto-tunable medical decision support engine using an automated class outlier detection method and AutoMLP
  • 2019-04-08 Classification of calcified regions in atherosclerotic lesions of the carotid artery in computed tomography angiography images
  • 2019-04-08 A survey of symbiotic organisms search algorithms and applications
  • 2019-04-08 Summarization of legal judgments using gravitational search algorithm
  • 2019-04-08 Path-based reasoning with constrained type attention for knowledge graph completion
  • 2019-04-06 Intelligent schemes for fault classification in mutually coupled series-compensated parallel transmission lines
  • 2019-04-05 Heat and mass transport phenomena of nanoparticles on time-dependent flow of Williamson fluid towards heated surface
  • 2019-04-02 Smart IoT information transmission and security optimization model based on chaotic neural computing
  • 2019-04-01 The emergence of deep learning: new opportunities for music and audio technologies
  • 2019-04-01 Parameters optimization of support vector machines for imbalanced data using social ski driver algorithm
  • 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://scigraph.springernature.com/ontologies/product-market-codes/I21000", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Artificial Intelligence", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I18030", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Data Mining and Knowledge Discovery", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I17036", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Probability and Statistics in Computer Science", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/M14026", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Computational Science and Engineering", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I22021", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Image Processing and Computer Vision", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://scigraph.springernature.com/ontologies/product-market-codes/I23050", 
            "inDefinedTermSet": "http://scigraph.springernature.com/ontologies/product-market-codes/", 
            "name": "Computational Biology/Bioinformatics", 
            "type": "DefinedTerm"
          }
        ], 
        "contentRating": [
          {
            "author": "snip", 
            "ratingValue": "1.364", 
            "type": "Rating"
          }, 
          {
            "author": "sjr", 
            "ratingValue": "0.7", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2017", 
            "ratingValue": "4.213", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2016", 
            "ratingValue": "2.505", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2015", 
            "ratingValue": "1.492", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2014", 
            "ratingValue": "1.569", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2013", 
            "ratingValue": "1.763", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2012", 
            "ratingValue": "1.168", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2011", 
            "ratingValue": "0.699", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2010", 
            "ratingValue": "0.563", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2009", 
            "ratingValue": "0.812", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2008", 
            "ratingValue": "0.767", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2007", 
            "ratingValue": "0.627", 
            "type": "Rating"
          }, 
          {
            "author": "impact_factor_wos", 
            "dateCreated": "2005", 
            "ratingValue": "0.403", 
            "type": "Rating"
          }
        ], 
        "description": "

    Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.

    All items relevant to building practical systems are within its scope, including but not limited to:

    • adaptive computing
    • algorithms
    • applicable neural networks theory
    • applied statistics
    • architectures
    • artificial intelligence
    • benchmarks
    • case histories of innovative applications
    • fuzzy logic
    • genetic algorithms
    • hardware implementations
    • hybrid intelligent systems
    • intelligent agents
    • intelligent control systems
    • intelligent diagnostics
    • intelligent forecasting
    • machine learning
    • neural networks
    • neuro-fuzzy systems
    • pattern recognition
    • performance measures
    • self-learning systems
    • software simulations
    • supervised and unsupervised learning methods
      system engineering and integration

    Featured contributions fall into several categories: Original Articles, Review Articles, Book Reviews, and Announcements.

    The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value.\u00a0 They will be reviewed by at least two referees.\u00a0
    For all queries relating to papers after submission, please contact the Journal Editorial Office via \u201ccontact us\u201d at Editorial Manager.

    ", "editor": [ { "familyName": "MacIntyre", "givenName": "John", "type": "Person" } ], "id": "sg:journal.1104357", "inLanguage": [ "en" ], "isAccessibleForFree": false, "issn": [ "0941-0643", "1433-3058" ], "license": "Hybrid (Open Choice)", "name": "Neural Computing and Applications", "productId": [ { "name": "scopus_id", "type": "PropertyValue", "value": [ "24800" ] }, { "name": "wos_id", "type": "PropertyValue", "value": [ "0941-0643/NEURAL COMPUTING & APPLICATIONS" ] }, { "name": "nlm_unique_id", "type": "PropertyValue", "value": [ "9313239" ] }, { "name": "nsd_ids_id", "type": "PropertyValue", "value": [ "445117" ] }, { "name": "springer_id", "type": "PropertyValue", "value": [ "521" ] }, { "name": "dimensions_id", "type": "PropertyValue", "value": [ "104357" ] }, { "name": "era_ids_id", "type": "PropertyValue", "value": [ "18089" ] } ], "publisher": { "name": "Springer London", "type": "Organization" }, "publisherImprint": "Springer", "sameAs": [ "https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1104357" ], "sdDataset": "journals", "sdDatePublished": "2019-03-18T11:05", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "file:///home/ubuntu/piotr/scigraph_export/journals_20190313_sn_only.jsonl", "startYear": "1993", "type": "Periodical", "url": "http://link.springer.com/journal/521" } ]
     

    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/journal.1104357'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/journal.1104357'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/journal.1104357'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/journal.1104357'


     

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

    176 TRIPLES      21 PREDICATES      47 URIs      37 LITERALS      24 BLANK NODES

    Subject Predicate Object
    1 sg:journal.1104357 schema:about sg:ontologies/product-market-codes/I17036
    2 sg:ontologies/product-market-codes/I18030
    3 sg:ontologies/product-market-codes/I21000
    4 sg:ontologies/product-market-codes/I22021
    5 sg:ontologies/product-market-codes/I23050
    6 sg:ontologies/product-market-codes/M14026
    7 schema:contentRating N039e78a76e854b64b549cd03521b040f
    8 N14dba6b3e8cd40ceaed7e8d26f69f034
    9 N1cc10e641b85492dafbad7726ecc137d
    10 N40381c0d5cf94ba5b0c414428ba787eb
    11 N634707edbdca4c07800d722f9591342d
    12 N741070901981466e8953a63a701e6442
    13 N76a63410140a4cb38e6e107c8d743177
    14 N8ac8695aee8b4b0789d70c45d0ba8947
    15 N921d81c5322949c6a8d8b2aa72c39cf1
    16 N948a29daf987465a9763da93467037af
    17 Nb34c95ec0ad3414490f358884c670997
    18 Ndb4004382490472e88ce4e71c4655b4c
    19 Nf127da75f3d4441ab4a4a1370a3f9ca7
    20 Nf99a55fc2e9745fcaad19c1257877f55
    21 schema:description <p><b><i>Neural Computing &amp; Applications</i></b> is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.<br/><br/>All items relevant to building practical systems are within its scope, including but not limited to:</p><ul><li>adaptive computing</li><li>algorithms</li><li>applicable neural networks theory</li><li>applied statistics</li><li>architectures</li><li>artificial intelligence</li><li>benchmarks</li><li>case histories of innovative applications</li><li>fuzzy logic</li><li>genetic algorithms</li><li>hardware implementations</li><li>hybrid intelligent systems</li><li>intelligent agents</li><li>intelligent control systems</li><li>intelligent diagnostics</li><li>intelligent forecasting</li><li>machine learning</li><li>neural networks</li><li>neuro-fuzzy systems</li><li>pattern recognition</li><li>performance measures</li><li>self-learning systems</li><li>software simulations</li><li>supervised and unsupervised learning methods<br/>system engineering and integration<br/></li></ul><p>Featured contributions fall into several categories: Original Articles, Review Articles, Book Reviews, and Announcements.<br/><br/>The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value.  They will be reviewed by at least two referees. <br/>For all queries relating to papers after submission, please contact the Journal Editorial Office via “contact us” at Editorial Manager.</p>
    22 schema:editor N6014469ccca34d67ae62c1c3396dec03
    23 schema:inLanguage en
    24 schema:isAccessibleForFree false
    25 schema:issn 0941-0643
    26 1433-3058
    27 schema:license Hybrid (Open Choice)
    28 schema:name Neural Computing and Applications
    29 schema:productId N0e81fc6b74f04398bfb10c1ad06677ce
    30 N57cd11ff250d46cfa0d5936f54f98d9c
    31 N86c277cef68f48b289d4116ca5ab3b07
    32 Na99e027bd1544315a2abd771bfcef0eb
    33 Nbff79bbd3918433cb5805c0076d44548
    34 Ne170dddc5b25492685c40983da9e6243
    35 Nf5a7c4fbd678419fb33e2a97b62c33be
    36 schema:publisher N02c93cd76f02467a8e5cb0dbb3402b16
    37 schema:publisherImprint Springer
    38 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_source_title=jour.1104357
    39 schema:sdDatePublished 2019-03-18T11:05
    40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    41 schema:sdPublisher N12913276605448138d55f74dc42fce6c
    42 schema:startYear 1993
    43 schema:url http://link.springer.com/journal/521
    44 sgo:license sg:explorer/license/
    45 sgo:sdDataset journals
    46 rdf:type schema:Periodical
    47 N02c93cd76f02467a8e5cb0dbb3402b16 schema:name Springer London
    48 rdf:type schema:Organization
    49 N02d80768ed534fc39c4caa9f6d128d69 rdf:first impact_factor_wos
    50 rdf:rest rdf:nil
    51 N039e78a76e854b64b549cd03521b040f schema:author N966d0cdcea0a46bd9a2228fc5048c023
    52 schema:dateCreated 2008
    53 schema:ratingValue 0.767
    54 rdf:type schema:Rating
    55 N0e7bf3efc74e4d06abd637961ebf35df rdf:first impact_factor_wos
    56 rdf:rest rdf:nil
    57 N0e81fc6b74f04398bfb10c1ad06677ce schema:name springer_id
    58 schema:value 521
    59 rdf:type schema:PropertyValue
    60 N12913276605448138d55f74dc42fce6c schema:name Springer Nature - SN SciGraph project
    61 rdf:type schema:Organization
    62 N14dba6b3e8cd40ceaed7e8d26f69f034 schema:author N8213888c93184ea1a049875722c3d3d3
    63 schema:dateCreated 2015
    64 schema:ratingValue 1.492
    65 rdf:type schema:Rating
    66 N1cc10e641b85492dafbad7726ecc137d schema:author N8eb1724fc41249258d91673619f3d7e7
    67 schema:dateCreated 2007
    68 schema:ratingValue 0.627
    69 rdf:type schema:Rating
    70 N30c7ddf8a3014d30aad451d150193816 rdf:first impact_factor_wos
    71 rdf:rest rdf:nil
    72 N40381c0d5cf94ba5b0c414428ba787eb schema:author N6558c1ff6f7a45d9832b362dc392226b
    73 schema:dateCreated 2012
    74 schema:ratingValue 1.168
    75 rdf:type schema:Rating
    76 N47f703b7ce5d4728b1f959d2391c24d3 rdf:first impact_factor_wos
    77 rdf:rest rdf:nil
    78 N53fe3f1f06134f7a94b2b0d9d8f27860 rdf:first impact_factor_wos
    79 rdf:rest rdf:nil
    80 N57cd11ff250d46cfa0d5936f54f98d9c schema:name nsd_ids_id
    81 schema:value 445117
    82 rdf:type schema:PropertyValue
    83 N6014469ccca34d67ae62c1c3396dec03 rdf:first N7a418760e0574894ad2cb9dd61480a9e
    84 rdf:rest rdf:nil
    85 N634707edbdca4c07800d722f9591342d schema:author Nc8e7d5393db34b61883b38671855cc89
    86 schema:dateCreated 2014
    87 schema:ratingValue 1.569
    88 rdf:type schema:Rating
    89 N6558c1ff6f7a45d9832b362dc392226b rdf:first impact_factor_wos
    90 rdf:rest rdf:nil
    91 N741070901981466e8953a63a701e6442 schema:author Ncd5dc3a9b1b9418d8c2c62f69e7f3b7c
    92 schema:dateCreated 2013
    93 schema:ratingValue 1.763
    94 rdf:type schema:Rating
    95 N75047352252d4a3f80c60cf567da39cb rdf:first snip
    96 rdf:rest rdf:nil
    97 N76a63410140a4cb38e6e107c8d743177 schema:author N30c7ddf8a3014d30aad451d150193816
    98 schema:dateCreated 2011
    99 schema:ratingValue 0.699
    100 rdf:type schema:Rating
    101 N7a418760e0574894ad2cb9dd61480a9e schema:familyName MacIntyre
    102 schema:givenName John
    103 rdf:type schema:Person
    104 N8213888c93184ea1a049875722c3d3d3 rdf:first impact_factor_wos
    105 rdf:rest rdf:nil
    106 N86c277cef68f48b289d4116ca5ab3b07 schema:name wos_id
    107 schema:value 0941-0643/NEURAL COMPUTING & APPLICATIONS
    108 rdf:type schema:PropertyValue
    109 N8ac8695aee8b4b0789d70c45d0ba8947 schema:author Nbda3be830a0946b9b6d5b3d300eba417
    110 schema:dateCreated 2010
    111 schema:ratingValue 0.563
    112 rdf:type schema:Rating
    113 N8eb1724fc41249258d91673619f3d7e7 rdf:first impact_factor_wos
    114 rdf:rest rdf:nil
    115 N921d81c5322949c6a8d8b2aa72c39cf1 schema:author N53fe3f1f06134f7a94b2b0d9d8f27860
    116 schema:dateCreated 2005
    117 schema:ratingValue 0.403
    118 rdf:type schema:Rating
    119 N948a29daf987465a9763da93467037af schema:author N02d80768ed534fc39c4caa9f6d128d69
    120 schema:dateCreated 2009
    121 schema:ratingValue 0.812
    122 rdf:type schema:Rating
    123 N966d0cdcea0a46bd9a2228fc5048c023 rdf:first impact_factor_wos
    124 rdf:rest rdf:nil
    125 Na99e027bd1544315a2abd771bfcef0eb schema:name dimensions_id
    126 schema:value 104357
    127 rdf:type schema:PropertyValue
    128 Nb34c95ec0ad3414490f358884c670997 schema:author Nc446b718035c444d9ea559203a023a0e
    129 schema:ratingValue 0.7
    130 rdf:type schema:Rating
    131 Nbda3be830a0946b9b6d5b3d300eba417 rdf:first impact_factor_wos
    132 rdf:rest rdf:nil
    133 Nbff79bbd3918433cb5805c0076d44548 schema:name nlm_unique_id
    134 schema:value 9313239
    135 rdf:type schema:PropertyValue
    136 Nc446b718035c444d9ea559203a023a0e rdf:first sjr
    137 rdf:rest rdf:nil
    138 Nc8e7d5393db34b61883b38671855cc89 rdf:first impact_factor_wos
    139 rdf:rest rdf:nil
    140 Ncd5dc3a9b1b9418d8c2c62f69e7f3b7c rdf:first impact_factor_wos
    141 rdf:rest rdf:nil
    142 Ndb4004382490472e88ce4e71c4655b4c schema:author N75047352252d4a3f80c60cf567da39cb
    143 schema:ratingValue 1.364
    144 rdf:type schema:Rating
    145 Ne170dddc5b25492685c40983da9e6243 schema:name scopus_id
    146 schema:value 24800
    147 rdf:type schema:PropertyValue
    148 Nf127da75f3d4441ab4a4a1370a3f9ca7 schema:author N0e7bf3efc74e4d06abd637961ebf35df
    149 schema:dateCreated 2017
    150 schema:ratingValue 4.213
    151 rdf:type schema:Rating
    152 Nf5a7c4fbd678419fb33e2a97b62c33be schema:name era_ids_id
    153 schema:value 18089
    154 rdf:type schema:PropertyValue
    155 Nf99a55fc2e9745fcaad19c1257877f55 schema:author N47f703b7ce5d4728b1f959d2391c24d3
    156 schema:dateCreated 2016
    157 schema:ratingValue 2.505
    158 rdf:type schema:Rating
    159 sg:ontologies/product-market-codes/I17036 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    160 schema:name Probability and Statistics in Computer Science
    161 rdf:type schema:DefinedTerm
    162 sg:ontologies/product-market-codes/I18030 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    163 schema:name Data Mining and Knowledge Discovery
    164 rdf:type schema:DefinedTerm
    165 sg:ontologies/product-market-codes/I21000 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    166 schema:name Artificial Intelligence
    167 rdf:type schema:DefinedTerm
    168 sg:ontologies/product-market-codes/I22021 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    169 schema:name Image Processing and Computer Vision
    170 rdf:type schema:DefinedTerm
    171 sg:ontologies/product-market-codes/I23050 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    172 schema:name Computational Biology/Bioinformatics
    173 rdf:type schema:DefinedTerm
    174 sg:ontologies/product-market-codes/M14026 schema:inDefinedTermSet sg:ontologies/product-market-codes/
    175 schema:name Computational Science and Engineering
    176 rdf:type schema:DefinedTerm
     




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


    ...