Synchronization learning of coupled chaotic maps View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2001-07

AUTHORS

L.G. Moyano, G. Abramson, D.H. Zanette

ABSTRACT

: We study the dynamics of an ensemble of globally coupled chaotic logistic maps under the action of a learning algorithm aimed at driving the system from incoherent collective evolution to a state of spontaneous full synchronization. Numerical calculations reveal a sharp transition between regimes of unsuccessful and successful learning as the algorithm stiffness grows. In the regime of successful learning, an optimal value of the stiffness is found for which the learning time is minimal. More... »

PAGES

223-228

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s100510170130

DOI

http://dx.doi.org/10.1007/s100510170130

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1041630801


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/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/02", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Centro At\u00f3mico Bariloche and Instituto Balseiro, 8400 Bariloche, Argentina, AR", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Centro At\u00f3mico Bariloche and Instituto Balseiro, 8400 Bariloche, Argentina, AR"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moyano", 
        "givenName": "L.G.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centro At\u00f3mico Bariloche and Instituto Balseiro, 8400 Bariloche, Argentina, AR", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Centro At\u00f3mico Bariloche and Instituto Balseiro, 8400 Bariloche, Argentina, AR"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Abramson", 
        "givenName": "G.", 
        "id": "sg:person.01143510413.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143510413.81"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centro At\u00f3mico Bariloche and Instituto Balseiro, 8400 Bariloche, Argentina, AR", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Centro At\u00f3mico Bariloche and Instituto Balseiro, 8400 Bariloche, Argentina, AR"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zanette", 
        "givenName": "D.H.", 
        "id": "sg:person.0673125037.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673125037.10"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2001-07", 
    "datePublishedReg": "2001-07-01", 
    "description": "Abstract: We study the dynamics of an ensemble of globally coupled chaotic logistic maps under the action of a learning algorithm aimed at driving the system from incoherent collective evolution to a state of spontaneous full synchronization. Numerical calculations reveal a sharp transition between regimes of unsuccessful and successful learning as the algorithm stiffness grows. In the regime of successful learning, an optimal value of the stiffness is found for which the learning time is minimal.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s100510170130", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1129956", 
        "issn": [
          "1155-4304", 
          "1286-4862"
        ], 
        "name": "The European Physical Journal B", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "22"
      }
    ], 
    "keywords": [
      "chaotic logistic map", 
      "logistic map", 
      "collective evolution", 
      "optimal value", 
      "chaotic maps", 
      "learning algorithm", 
      "full synchronization", 
      "numerical calculations", 
      "learning time", 
      "dynamics", 
      "ensemble", 
      "maps", 
      "algorithm", 
      "synchronization", 
      "system", 
      "sharp transition", 
      "successful learning", 
      "learning", 
      "calculations", 
      "regime", 
      "evolution", 
      "state", 
      "stiffness", 
      "values", 
      "time", 
      "action", 
      "transition", 
      "incoherent collective evolution", 
      "spontaneous full synchronization", 
      "algorithm stiffness", 
      "Synchronization learning"
    ], 
    "name": "Synchronization learning of coupled chaotic maps", 
    "pagination": "223-228", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1041630801"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s100510170130"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s100510170130", 
      "https://app.dimensions.ai/details/publication/pub.1041630801"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:13", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_333.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s100510170130"
  }
]
 

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/s100510170130'

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/s100510170130'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s100510170130'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s100510170130'


 

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

102 TRIPLES      21 PREDICATES      57 URIs      49 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s100510170130 schema:about anzsrc-for:01
2 anzsrc-for:02
3 schema:author N8345ed6d1e8f4235886ae0018671a7d1
4 schema:datePublished 2001-07
5 schema:datePublishedReg 2001-07-01
6 schema:description Abstract: We study the dynamics of an ensemble of globally coupled chaotic logistic maps under the action of a learning algorithm aimed at driving the system from incoherent collective evolution to a state of spontaneous full synchronization. Numerical calculations reveal a sharp transition between regimes of unsuccessful and successful learning as the algorithm stiffness grows. In the regime of successful learning, an optimal value of the stiffness is found for which the learning time is minimal.
7 schema:genre article
8 schema:inLanguage en
9 schema:isAccessibleForFree true
10 schema:isPartOf N13c1bde683f6439f9f5299c22b050924
11 Nbbf16f478f4c47a2957761ea352bda59
12 sg:journal.1129956
13 schema:keywords Synchronization learning
14 action
15 algorithm
16 algorithm stiffness
17 calculations
18 chaotic logistic map
19 chaotic maps
20 collective evolution
21 dynamics
22 ensemble
23 evolution
24 full synchronization
25 incoherent collective evolution
26 learning
27 learning algorithm
28 learning time
29 logistic map
30 maps
31 numerical calculations
32 optimal value
33 regime
34 sharp transition
35 spontaneous full synchronization
36 state
37 stiffness
38 successful learning
39 synchronization
40 system
41 time
42 transition
43 values
44 schema:name Synchronization learning of coupled chaotic maps
45 schema:pagination 223-228
46 schema:productId Na91555f921f54ec7bd210cde35604bb1
47 Nf90b39f69bc94abca34bcf7e03f02546
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041630801
49 https://doi.org/10.1007/s100510170130
50 schema:sdDatePublished 2021-12-01T19:13
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher N91241295b0dc49b7b765f51ac85a3995
53 schema:url https://doi.org/10.1007/s100510170130
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N13c1bde683f6439f9f5299c22b050924 schema:issueNumber 2
58 rdf:type schema:PublicationIssue
59 N2f149ca7a52348be93e80228c0b33276 schema:affiliation grid-institutes:None
60 schema:familyName Moyano
61 schema:givenName L.G.
62 rdf:type schema:Person
63 N8345ed6d1e8f4235886ae0018671a7d1 rdf:first N2f149ca7a52348be93e80228c0b33276
64 rdf:rest Ne6540201177c42de830eef213dd106a1
65 N91241295b0dc49b7b765f51ac85a3995 schema:name Springer Nature - SN SciGraph project
66 rdf:type schema:Organization
67 N9a6e169c159049bbae9cb550f8b0e0fe rdf:first sg:person.0673125037.10
68 rdf:rest rdf:nil
69 Na91555f921f54ec7bd210cde35604bb1 schema:name doi
70 schema:value 10.1007/s100510170130
71 rdf:type schema:PropertyValue
72 Nbbf16f478f4c47a2957761ea352bda59 schema:volumeNumber 22
73 rdf:type schema:PublicationVolume
74 Ne6540201177c42de830eef213dd106a1 rdf:first sg:person.01143510413.81
75 rdf:rest N9a6e169c159049bbae9cb550f8b0e0fe
76 Nf90b39f69bc94abca34bcf7e03f02546 schema:name dimensions_id
77 schema:value pub.1041630801
78 rdf:type schema:PropertyValue
79 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
80 schema:name Mathematical Sciences
81 rdf:type schema:DefinedTerm
82 anzsrc-for:02 schema:inDefinedTermSet anzsrc-for:
83 schema:name Physical Sciences
84 rdf:type schema:DefinedTerm
85 sg:journal.1129956 schema:issn 1155-4304
86 1286-4862
87 schema:name The European Physical Journal B
88 schema:publisher Springer Nature
89 rdf:type schema:Periodical
90 sg:person.01143510413.81 schema:affiliation grid-institutes:None
91 schema:familyName Abramson
92 schema:givenName G.
93 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143510413.81
94 rdf:type schema:Person
95 sg:person.0673125037.10 schema:affiliation grid-institutes:None
96 schema:familyName Zanette
97 schema:givenName D.H.
98 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0673125037.10
99 rdf:type schema:Person
100 grid-institutes:None schema:alternateName Centro Atómico Bariloche and Instituto Balseiro, 8400 Bariloche, Argentina, AR
101 schema:name Centro Atómico Bariloche and Instituto Balseiro, 8400 Bariloche, Argentina, AR
102 rdf:type schema:Organization
 




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


...