US 2021/0279524 A1 · TRAINING MODEL CREATION SYSTEM AND TRAINING MODEL CREATION METHOD

Abstract

A training model creation system includes a first server (a mother server 100) that diagnoses a state of an inspection target in a first base (a mother base) using a first model (a mother model) of a neural network and a plurality of second servers (child servers 200) that diagnose a state of an inspection target in each base of the plurality of second bases using a second model (a child model) of the neural network. In the training model creation system, the first server receives feature values of the trained second model from the respective plurality of second servers, merges a received plurality of feature values of the second model and a feature value of the trained first model, and reconstructs and trains the first model based on a merged feature value.

Claims13

Dependent claims

A training model creation system that inspects, with a neural network, a process carried out in a plurality of bases including a first base and a plurality of second bases,

the training model creation system comprising:
a first server that diagnoses a state of an inspection target in the first base using a first model of the neural network;
and
a plurality of second servers that diagnose a state of an inspection target in each base of the plurality of second bases using a second model of the neural network, wherein
the first server receives feature values of the trained second model from the respective plurality of second servers, merges a received plurality of feature values of the second model and a feature value of the trained first model, and reconstructs and trains the first model based on a merged feature value.

2 more elements

A training model creation method by a system that inspects, with a neural network, a process carried out in a plurality of bases including a first base and a plurality of second bases,

the system including:
a first server that diagnoses a state of an inspection target in the first base using a first model of the neural network;
and
a plurality of second servers that diagnose a state of an inspection target in each base of the plurality of second bases using a second model of the neural network,
the training model creation method comprising:
a feature value receiving step in which the first server receives feature values of the trained second model from the respective plurality of second servers;
a feature value merging step in which the first server merges a plurality of feature values of the second model received in the feature value receiving step and a feature value of the trained first model;
and
a common model creating step in which the first server reconstructs and trains the first model based on the feature value merged in the feature value merging step.

6 more elements

Dependencies are inferred from the claim text.

Training model creation system and training model creation method

Life of this patent

Training model creation system and training model creation method

Life of this patent

Abstract

Claims13