Siemens Aktiengesellschaft

Ralf Neuneier

Hans-Georg Zimmermann

Oliver Mihatsch

Stefan Siekmann

A determination of a sequence of actions is performed such that a sequence of states resulting from the sequence of actions is optimized using a prescribed optimization function. The optimization function includes a variable parameter with which it is possible to establish a risk relating to the resulting sequence of states based upon a prescribed state of the system.

Method and configuration for determining a sequence of actions for a system which comprises statuses, whereby a status transition ensues between two statuses as a result of an action

Computation elements are connected to one another with a first subsystem having a first input computation element, to which time series values, which each describe one state of a system in a first state space at a time, can be supplied. The first input computation element is connected to a first intermediate computation element, by which a state of the system can be described in a second state space at a time. In a second subsystem a second intermediate computation element, by which a state of the system can be described in the second state space at a time, is connected to a first output computation element, on which a first output signal can be tapped off. In a third subsystem a third intermediate computation element, by which a state of the system can be described in the second state space at a time, is connected to a second output computation element, on which a second output signal can be tapped off. The first subsystem, the second subsystem and the third subsystem are each connected to one another by a coupling between the intermediate computation elements. Weights, which are each associated with one connection between two intermediate computation elements are equal to one another, and weights which are each associated with a connection between an intermediate computation element and an output computation element are equal to one another.

System and method for training and using interconnected computation elements to determine a dynamic response on which a dynamic process is based

An input signal is transformed into a predetermined space. Transformation computer elements are connected to one another such that transformed signals can be taken at the transformation computer elements, whereby at least three transformed signals relate to respectively successive points in time. Composite computer elements are respectively connected to two transformation computer elements. Further, a first output computer element is provided at which an output signal that describes a system status at a point in time can be taken. The first output computer element is connected to the transformation computer elements. Further, a second output computer element is provided that is connected to the composite computer elements and given whose employment a predetermined condition can be taken into consideration when training the arrangement.

ASSEMBLY OF INTERCONNECTED COMPUTING ELEMENTS, METHOD FOR COMPUTER-ASSISTED DETERMINATION OF A DYNAMICS WHICH IS THE BASE OF A DYNAMIC PROCESS, AND METHOD FOR COMPUTER-ASSISTED TRAINING OF AN ASSEMBLY OF INTERCONNECTED ELEMENTS

A set of fuzzy rules (FR) is mapped onto a neural network (NN) (,). The neural network (NN) is trained (,), and weights (w,) and/or neurons (NE) of the neural network (NN) are pruned or grown (,). A new neural network (NNN) formed in this way is mapped onto a new fuzzy rule set (NFR) (,).

Method for optimizing a set of fuzzy rules using a computer

A method and apparatus for computer-supported generation of at least one artificial training data vector for a neural network is provided wherein a residual error is determined after a training of a neural network has occurred. A backward error is then determined from the residual error. Artificial training data vectors are generated from a statistical random process that is based on a statistical distribution, such that the respective backward error for an input of the neural network is taken into consideration.

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Munich, Germany

Ralf Neuneier