Method of controlling operation of nonvolatile memory device using machine learning and storage system

A method of controlling an operation of a nonvolatile memory device using machine learning, the method comprising:

• providing a plurality of read level sets, each read level set corresponding to a combination of levels of read voltages for a read operation of the nonvolatile memory device;
• determining an optimal read level set corresponding to current feature information among the plurality of read level sets by performing an inferring operation based on the current feature information as an input of a machine learning model;
• collecting training data that are generated based on feature information and error information, the feature information including physical addresses of the nonvolatile memory device and cell count data indicating threshold voltage distributions of memory cells corresponding to the physical addresses, the error information indicating results of error correction code (ECC) decoding of the nonvolatile memory device;
• updating the machine learning model by performing a learning operation based on the training data;
• and
• determining a timing of performing the learning operation based on a probability of a failure of the inferring operation and a probability of a failure of the ECC decoding.

A storage system comprising:

• a nonvolatile memory device;
• and
• a storage controller configured to control the nonvolatile memory device, the storage controller comprising:
• a data collector configured to collect training data that are generated based on feature information and error information, the error information indicating results of error correction code (ECC) decoding of the nonvolatile memory device;
• a buffer memory configured to store the training data;
• and
• a machine learning engine configured to determine operating conditions of the nonvolatile memory device by performing an inferring operation using a machine learning model and update the machine learning model by performing a learning operation based on the training data.