Patent ID: 8306931
Filing Date: 2012-11-06
Classification: G06N

Abstract:
1. At a computer system including one or more processors and system memory, a method for adapting the neural architecture of neural networks to detect abnormalities in the operation of a monitored system, the method comprising: an act of accessing a historical data set for a system, the historical data set including a plurality of monitored measurands indicative of measurements of prior performance for the system, the plurality of measurands for use in training neural networks to monitor the ongoing performance of the system; for each measurand: an act of configuring and training a set of neural networks to detect abnormal events in the monitored measurands, including for each neural network in the set of networks: an act of configuring the neural network to monitor the system for abnormalities related to the correlated group of measurands subsequent to scaling and normalizing the measurands, configuring the neural network in layers including: an act of applying the trained set of neural networks to a new data set or real-time data where reports of abnormalities are produced from the new data set.