NIST · ИТ · 3ce7e729de92cea9e4cb
Hyperborders in the Voronoi-Diagram-Based Neural Net for Pattern Classification
We propose a neural network to answer a point query in Rn partitioned based on the Voronoi diagram. Our novel design offers the potential to reduce both the number of neurons and connection weights of previous designs, employing a cost function which
NIST · ИТОфициальный источник · 2002-05-01
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"title_en": "Hyperborders in the Voronoi-Diagram-Based Neural Net for Pattern Classification",
"designation": "",
"series": "",
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"date": "2002-05-01",
"date_original": "May 1, 2002",
"url": "https://www.nist.gov/publications/hyperborders-voronoi-diagram-based-neural-net-pattern-classification",
"source": "NIST Publications",
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"authors_en": "Camillo Gentile , M Sznaier",
"abstract_excerpt_en": "We propose a neural network to answer a point query in Rn partitioned based on the Voronoi diagram. Our novel design offers the potential to reduce both the number of neurons and connection weights of previous designs, employing a cost function which",
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{
"title_en": "Hyperborders in the Voronoi-Diagram-Based Neural Net for Pattern Classification",
"designation": "",
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"date": "2002-05-01",
"date_original": "May 1, 2002",
"url": "https://www.nist.gov/publications/hyperborders-voronoi-diagram-based-neural-net-pattern-classification",
"source": "NIST Publications",
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"authors_en": "Camillo Gentile , M Sznaier",
"abstract_excerpt_en": "We propose a neural network to answer a point query in Rn partitioned based on the Voronoi diagram. Our novel design offers the potential to reduce both the number of neurons and connection weights of previous designs, employing a cost function which"
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