RESOURCE CONSERVATION SYSTEM FOR SCALABLE IDENTIFICATION OF A SUBSET OF INPUTS FROM AMONG A GROUP OF INPUTS THAT CONTRIBUTED TO AN OUTPUT

    公开(公告)号:US20230177150A1

    公开(公告)日:2023-06-08

    申请号:US17541428

    申请日:2021-12-03

    摘要: A resource conservation system, including a determination processor may be provided. The determination processor may identify a characterization output that characterizes a plurality of data structures. The characterization output may be based on plurality of inputs. The inputs may be processed through a plurality, or cascade, of artificial intelligence models both in sequence and in parallel. A numerical value may be identified for each data structure. The value may identify a degree of certainty that the determination processor accurately characterized each data structure. When the degree is above a threshold, the determination processor may identify a subset of inputs that most contributed to the characterization output. The determination processor may execute an equation to identify a subset of inputs that most contributed to the output. The equation may involve inputs and/or outputs of each of the cascade of models. Identified inputs may be ranked based on contribution to the outcome.