Abstract: A neural network learns the operating modes of a system being monitored under normal operating conditions. Anomalies can be automatically detected and learned. A control command can be issued or an alert can be issued in response thereto.

Abstract: A training enterprise cost estimating system and method to automatically provide an optimized estimate in response to user provided inputs. A user enters enterprise related parameters including types of tasks, types of vehicles, types of simulators, costs, and optimization priorities. The user can carry out simulations of the proposed training system and modify parameters thereof along with obtaining a cost estimate.

Abstract: A system and a method enabling a software agent to learn about its environment, and learn how to perform jobs and tasks. Novel information is assimilated and used in an adaptive manner by the genetically evolving rule set of the agent. The agent learning system communicates with the external environment in an artificial economy through on-line auctions. Internal information also passes through message auctions, that provide chaining of rule execution. The agent continually attempts to automatically improve its performance with respect to fitness for a job.

Abstract: A system and a method for tracking long term performance of a vibrating body such as a gas turbine, includes a vibration sensor who time domain outputs are transformed to the frequency domain, using a fast Fourier transform processing. Frequency domain outputs are provided as inputs to a fuzzy adaptive resonance theory neural network. Outputs from the network can be coupled to an expert system for analysis, to display devices for presentation to an operator or are available for other control and information purposes.