INFERENCE MACHINE USING ADAPTIVE POLYNOMIAL NETWORKS

An inference machine is described which comprises an adaptive polynomial network with the capability of implicitly inferring missing input information contained in time-dependent signals. The proposed network has wide applicability and is characterized by its ability to produce outputs within specified degrees of accuracy when, for example, only four out of ten input signals are available to the network. Specific applications include terminal guidance of a tactical missile when critical signals may be denied. A generic implementation is schematically illustrated.