The invention provides an intelligent solitary policy
processing method based on a neural network and
machine learning, and relates to the field of
data processing. According to the method, strategy
byte codes and execution contexts are generated by extracting business rules, supervision calibers and field dependency relationships of the single insurance policy, discovery, repair and arbitration of field abnormity are achieved in combination with a
dynamic data governance model, an account-falling confirmation
receipt is output through a voting game and a compensation transaction, and a replayable trace and a rare mode index are generated. And a high-confidence
label and an error correction prior increment are obtained in combination with triggering
verification, and finally, full-link evidence is solidified through
continuous distillation,
chain type evidence storage and an auditable snapshot
library, so that a traceable
record of the single insurance policy is formed. By implementing the technical scheme provided by the invention, full-
link data processing can be conveniently carried out on the single insurance policy, so that the
processing efficiency is effectively improved.