Article Instance

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{
    "pk": 31405,
    "title": "Genetically Generated Neural Networks II: Searching for an Optimal Representation",
    "subtitle": null,
    "abstract": "Genetic Algorithms (GAs) make use of an internal representation of a given system in order to perform optimization functions. The actual structural layout of this representation, called a genome, has a crucial impact on the outcome of the optimization process. The purpose of this paper is to study the effects of different internal representations in a G A , which generates neural networks. A second G A was used to optimize the genome structure. This structure produces an optimized system within a shorter time interval.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Posters",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6s87b6k9",
    "frozenauthors": [
        {
            "first_name": "Leonardo",
            "middle_name": "",
            "last_name": "Marti",
            "name_suffix": "",
            "institution": "Boston University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1992-01-01T10:00:00-08:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31405/galley/22474/download/"
        }
    ]
}