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{
    "pk": 31719,
    "title": "Principal Hidden Unit Analysis: Generation and Interpretation of Principal Networks by Zminimum Entropy Method",
    "subtitle": null,
    "abstract": "In the present paper, a principal hidden\nunit analysis with entropy minimization is\nproposed to obtain a simple or fundamental\nstructure from original complex structures.\nThe principal hidden unit analysis is com-\nposed of four steps. First, entropy, defined\nwith respect to the hidden unit activity, is\nminimized. Second, several principal hidden\nunits are selected, according to il-index, rep-\nresenting the strength of the response of hid-\nden units to input patterns. Third, the per-\nformance of the obtained principal network is\nexamined with respect to the error or generalization. Finally, the internal representa-\ntion of the obtained principal network must\nappropriately be interpreted. Applied to a\nrule-plus-exception, a symmetry problem and\nan autoencoder, it was confirmed in all cases\nthat by using entropy method, a small num-\nber of principal hidden units were selected.\nWith these principal hidden units, principal\nnetworks were constructed, producing targets\nalmost perfectly. The internal representation\ncould easily be interpreted especially for simple problems",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Submitted Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/9c0002vr",
    "frozenauthors": [
        {
            "first_name": "Ryotaro",
            "middle_name": "",
            "last_name": "Kamimura",
            "name_suffix": "",
            "institution": "Tokai University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1993-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31719/galley/22787/download/"
        }
    ]
}