[
    {
        "id": "authors:cs5qc-71p91",
        "collection": "authors",
        "collection_id": "cs5qc-71p91",
        "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20160129-165404707",
        "type": "book_section",
        "title": "Analog VLSI Implementation of Multi-dimensional Gradient Descent",
        "book_title": "Advances in Neural Information Processing Systems 5 (NIPS 1992)",
        "author": [
            {
                "family_name": "Kirk",
                "given_name": "David B.",
                "clpid": "Kirk-D-B"
            },
            {
                "family_name": "Kerns",
                "given_name": "Douglas",
                "clpid": "Kerns-D-A"
            }
        ],
        "contributor": [
            {
                "family_name": "Hanson",
                "given_name": "Stephen Jos\u00e9",
                "clpid": "Hanson-S-J"
            },
            {
                "family_name": "Cowan",
                "given_name": "Jack D.",
                "clpid": "Cowan-J-D"
            },
            {
                "family_name": "Giles",
                "given_name": "C. Lee",
                "clpid": "Giles-C-L"
            }
        ],
        "abstract": "We describe an analog VLSI implementation of a multi-dimensional gradient estimation and descent technique for minimizing an on-chip scalar function f(). The implementation uses noise injection and multiplicative correlation to estimate derivatives, as in\n[Anderson, Kerns 92]. One intended application of this technique is setting circuit parameters on-chip automatically, rather than manually [Kirk 91]. Gradient descent optimization may be used to adjust synapse weights for a backpropagation or other on-chip learning implementation. The approach combines the features of\ncontinuous multi-dimensional gradient descent and the potential for an annealing style of optimization. We present data measured from our analog VLSI implementation.",
        "isbn": "1-55860-274-7",
        "publisher": "Morgan Kaufmann",
        "place_of_publication": "San Mateo, CA",
        "publication_date": "1993",
        "pages": "789-796"
    }
]