EP0459276A2 Expired / Lapsed EP ⏱️ 0.0 years remaining

Data processing system

Assignee: Yozan Inc

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Filing: 1991-05-21

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Granted: —

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Expires: 2011-05-21

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Abstract

Abstract The invention provides for a data processing system with a plurality of neurons each of which outputs a predetermined data after igniting according to the predetermined processing results performed onto an input data; neurons in the above neural layers are divided into the neuron groups with a fixed number of neurons; neurons in a part of each neuron group belong to the adjacent neuron group at the same time; neurons in each neuron group correspond to neurons in the following neural layer, respectively; number of neurons Nn in the nth neural layer can be calculated by the following formula: Nn = ( Nn-1 - v)/( a - v)<2> where, "Nn-1" is the number of neurons at (n-1)th layer; "a" is the number of neurons in one neuron group; and "v" is the number of strings that belong to another adjacent neuron group. <IMAGE>

Inventors

👤 Sunao C/O Yozan Inc. Takatori
👤 Makoto C/O Yozan Inc. Yamamoto

Bibliographic Details

Application Number —

Jurisdiction EP

Data Source google_patents

Last Synchronized 2026-11-04 02:33

CPC Classifications

G; G06; G06N; G06N3/00; G06N3/02; G06N3/04; G06V; G06V30/00; G06V30/10; G06V30/18; G06V30/1801; G06V30/18019; G06V30/18038; G06V30/18048; G06V30/18057; G06N3/045; G06N3/0464; G06N3/0495; G06N3/08; G06N3/09; G06V10/00; G06V10/70; G06V10/82; G06V30/19; G06V30/191

Claims Analysis

Total Claims: 3

Claim 1

Independent Claim 153 words

Data processing system characterized in that; a plurality of neural layers is prepared which comprises a plurality of neurons each of which outputs a predetermined data after igniting according to the predetermined processing results performed onto an input data; neurons in the above neural layers are divided into the neuron groups with a fixed number of neurons; neurons in a part of each neuron group belong to the adjacent neuron group at the same time; neurons in each neuron group correspond to neurons in the following neural layer, respectively; number of neurons N n in the nth neural layer can be calculated by the following formula: N n = {(√ N n-1 ¯ - v)/(√a - v)}² where, "N n-1 " is the number of neurons at (n-1)th layer; "a" is the number of neurons in one neuron group; and "v" is the number of strings that belong to another adjacent neuron group.

Claim 2

Dependent Claim 155 words

Data processing system characterized in that: a plurality of neural layers are prepared which comprises a plurality of neurons each of which outputs a predetermined data after igniting according to the predetermined processing results performed onto an input data; a plurality of the mutually independent data processing portions are prepared which comprise a plurality of the above neural layers; neurons in a part of each neuron group belong to the adjacent neuron group at the same time; neurons in each neuron group correspond to neurons in the following neural layer, respectively; number of neurons N n in the nth neural layer can be calculated by the following formula: N n = {(√ N n-1 ¯ - v)/(√a - v)}² where, "N n-1 " is the number of neurons at (n-1)th layer; "a" is the number of neurons in one neuron group; and "v" is the number of strings that belong to another adjacent neuron group.

Claim 3

Dependent Claim 50 words

Data processing system according to claim 2, characterized in that: said system includes a preprocessing portion comprising a plurality of the mutually independent data processing portions and a pro-processing portion comprising at least one data processing portion; output data from the above preprocessing portion is input to the pro-processing portion.

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