Training data generation apparatus, training data generation method and program
AssigneeNippon Telegraph and Telephone Corporation
InventorsYoichi MATSUO, Keishiro WATANABE
Life of this patent
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Abstract
A learning data generation apparatus is a learning data generation apparatus generating learning data used to learn a model for estimating an abnormal portion of an ICT system. The learning data generation apparatus includes: a learning unit configured to learn parameters of a generator and a discriminator forming a conditional hostile generation network by using observation data during abnormality of the ICT system; and a generation unit configured to generate the learning data using the generator in which the learned parameters are set.
Claims6
A learning data generation apparatus generating learning data used to learn a model for estimating an abnormal portion of an ICT system, the learning data generation apparatus comprising:
- a hardware processor configured to
- learn parameters of a generator and a discriminator forming a conditional hostile generative network by using observation data during abnormality of the ICT system;
- and
- generate the learning data using the generator in which the learned parameters are set.
A learning data generation method executed by a computer that generates learning data used to learn a model for estimating an abnormal portion of an ICT system, the learning data generation method comprising:
- learning parameters of a generator and a discriminator forming a conditional hostile generative network by using observation data during abnormality of the ICT system;
- and
- generating the learning data using the generator in which the learned parameters are set.
A non-transitory computer-readable recording medium storing a program for causing a computer that generates learning data used to learn a model for estimating an abnormal portion of an ICT system to execute a process, the process comprising:
- learning parameters of a generator and a discriminator forming a conditional hostile generative network by using observation data during abnormality of the ICT system;
- and
- generating the learning data using the generator in which the learned parameters are set.
Dependencies are inferred from the claim text.