Abstract: A true quantum quadratic optimizer is disclosed. An Ising type quantum array and a heat reservoir are included. This is used in solving mathematical problems.

Abstract: Methods, computer-readable media, and systems are provided for machine learning in a simultaneous recurrent neural network. One embodiment of the invention provides a method including initializing one or more weight in the network, initializing parameters of an extended Kalman filter, setting a Jacobian matrix to an empty matrix, augmenting the Jacobian matrix for each of a plurality of training patterns, adjusting the one or more weights using the extended Kalman filter formulas, and calculating a network output for one or more testing patterns.

Abstract: The present invention provides an intelligent power unit, and applications thereof. In an embodiment, the intelligent power unit includes a battery, a power switch, and a control unit. The control unit receives price information and operates the power switch based on the price information to charge the battery during periods of relatively low electrical energy prices. During periods of relatively high electrical energy prices, the control unit cause the energy stored in the battery to be used to power attached loads. The price information provided to the control unit can be actual price information regarding the cost to generate electrical power, estimated price information, or contract price information. It is a feature of the intelligent power unit of the present invention that it can be used to shift a utility's electrical power demand in time.

Abstract: A method and system for implementing a neuro-controller. One example of a neuro-controller is a brain-like stochastic search. Another example is a neuro-controller for controlling a hypersonic aircraft. Using a variety of learning techniques, the method and system provide adaptable control of external devices (e.g., airplanes, plants, factories, and financial systems).

Abstract: A method, system and computer program product for implementing at least one of a learning-based diagnostics system and a control system (e.g., using a neural network). By using ObjectNets to model general object types, it is possible to design a control system that represents system components as relational structures rather than fixed vectors. Such an advance is possible by exploiting non-Euclidean principles of symmetry.

Abstract: A method and system for intelligent control of external devices using a mammalian brain-like structure having three parts. The method and system include a computer-implemented neural network system which is an extension of the model-based adaptive critic design and is applicable to real-time control (e.g., robotic control) and real-time distributed control. Additional uses include data visualization, data mining, and other tasks requiring complex analysis of inter-relationships between data.

Abstract: Classical adaptive control proves total-system stability for control of linear plants, but only for plants meeting very restrictive assumptions. Approximate Dynamic Programming (ADP) has the potential, in principle, to ensure stability without such tight restrictions. It also offers nonlinear and neural extensions for optimal control, with empirically supported links to what is seen in the brain. However, the relevant ADP methods in use today—TD, HDP, DHP, GDHP—and the Galerkin-based versions of these all have serious limitations when used here as parallel distributed real-time learning systems. Either they do not possess quadratic unconditional stability or they lead to incorrect results in the stochastic case. (ADAC or Q-learning designs do not help.) The present invention describes new ADP designs which overcome these limitations.

Abstract: An artificial intelligence system is provided which makes use of a dual subroutine to adapt weights. Elastic Fuzzy Logic (“ELF”) System is provided in which classical neural network learning techniques are combined with fuzzy logic techniques in order to accomplish artificial intelligence tasks such as pattern recognition, expert cloning and trajectory control. The system may be implemented in a computer provided with multiplier means and storage means for storing a vector of weights to be used as multiplier factors in an apparatus for fuzzy control.

Abstract: A method and system for intelligent control of external devices using a mammalian brain-like structure having three parts. The method and system include a computer-implemented neural network system which is an extension of the model-based adaptive critic design and is applicable to real-time control (e.g., robotic control) and real-time distributed control. Additional uses include data visualization, data mining, and other tasks requiring complex analysis of inter-relationships between data.

Abstract: An artificial intelligence system is provided which makes use of a dual subroutine to adapt weights. Elastic Fuzzy Logic ("ELF") System is provided in which classical neural network learning techniques are combined with fuzzy logic techniques in order to accomplish artificial intelligence tasks such as pattern recognition, expert cloning and trajectory control. The system may be implemented in a computer provided with multiplier means and storage means for storing a vector of weights to be used as multiplier factors in an apparatus for fuzzy control.

Abstract: An artificial intelligence system is provided which makes use of a dual subroutine to adapt weights. Elastic Fuzzy Logic ("ELF") System is provided in which classical neural network learning techniques are combined with fuzzy logic techniques in order to accomplish artificial intelligence tasks such as pattern recognition, expert cloning and trajectory control. The system may be implemented in a computer provided with multiplier means and storage means for storing a vector of weights to be used as multiplier factors in an apparatus for fuzzy control.