公开(公告)号：US20220171727A1

公开(公告)日：2022-06-02

申请号：US17107576

申请日：2020-11-30

Applicant: Seagate Technology LLC

Inventor： Sayan GHOSAL

IPC: G06F13/36 ,  G06N3/08

Abstract: Data channel parameter optimization with intelligent selection of initial data channel conditions and optimization algorithm hyperparameters for use of a black box optimizer to optimize one or more data channel parameters. It is currently identified that the initial data channel condition affects the ability of a black box optimizer to optimize data channel parameters. In turn, by use of an intelligent agent (e.g., employing artificial intelligence or machine learning) to iteratively select optimized initial data channel conditions, the optimization of the data channel may be improved. Moreover, the sensitivity of the data channel parameters may be determined, which allows for identification of a subset of data channel parameters that are varied in an optimization approach. This may result in improved performance of the optimization without sacrificing optimized performance of the data channel.

公开(公告)号：US20210041499A1

公开(公告)日：2021-02-11

申请号：US16534753

申请日：2019-08-07

Applicant: Seagate Technology LLC

Inventor： Sayan GHOSAL ,  John TANTZEN

IPC: G01R31/319 ,  G01R31/317 ,  G06F11/07 ,  G06N20/00

Abstract: A system includes a host configured to communicate with a device under test. The host is configured to write test data to the device under test. An optimization engine is configured to optimize a plurality of parameters associated with a magnetic recording channel associated with the device under test. The optimization engine is configured to select a first set of parameters for the plurality of parameters and the host is configured to set the magnetic recording channel based on the first set of parameters. The host then measures the performance of the magnetic recording channel based on the first set of parameters. Based on the measured performance, the optimization engine then selects new parameter values for the plurality of parameters. Until the measured performance is within an acceptable threshold, the optimization engine will iteratively update the plurality of parameters based on the measured performance.