Abstract: A trimmer line spool has first and second spool chambers for a trimmer line. First and second holder pairs are provided. The first holder pair has first and second trimmer line holders associated with the first spool chamber and the second spool chamber, respectively. The second holder pair has first and second trimmer line holders associated with the first spool chamber and the second spool chamber, respectively. The trimmer line holders of the first holder pair each have a first opening for the trimmer line. The trimmer line holders of the second holder pair each have a second opening for the trimmer line. A diameter of the first openings is larger than a diameter of the second openings. The first openings are positioned at an angle of 150° to 210° to each other. The second openings are positioned at an angle of 150° to 210° to each other.

Abstract: A method for training a control strategy. The method includes providing training data, which demonstrate a control behavior, according to which control actions are to be generated, and training the control strategy with the aid of imitation learning by minimizing a measure of deviation between the distribution of state transitions according to the control strategy and the distribution of state transitions according to the demonstrated control behavior using the training data.

Abstract: A method for creating a model of a technical system as a function of measured sensor data of the technical system. The method includes the following steps: initializing a symbolic regression problem. A list of mathematical functions is established, including at least one linear and/or non-linear function and/or at least a one-dimensional parameterizable characteristic curve. The at least one-dimensional characteristic curve is implemented by a Smoothed Grid Regression (SGR) model. Solving the symbolic regression problem with the aid of a genetic algorithm.

Abstract: A device and a computer-implemented method for classifying data, in particular for a Controller Area Network or an automotive Ethernet network. A plurality of messages is received from a communications network. A message that has a predefined message type is selected for an input variable for an input model of a plurality of input models of an artificial neural network associated with the predefined message type. The input variable is determined as a function of the message, and in an output area of the artificial neural network a prediction is output that is usable for classifying the message as a function of the input variable, or a reconstruction of an input variable is output that is usable for classifying the message as a function of this input variable.

Abstract: A method for training a control strategy. The method includes providing training data, which demonstrate a control behavior, according to which control actions are to be generated, and training the control strategy with the aid of imitation learning by minimizing a measure of deviation between the distribution of state transitions according to the control strategy and the distribution of state transitions according to the demonstrated control behavior using the training data.

Abstract: A computer-implemented method for detecting a manipulation of a technical device. The method includes: providing time characteristics of operating variables having system variable(s) and/or a correction variable for an intervention in the technical device which correspond to time series of values of the operating variables for each of consecutive time steps; using a data-based manipulation detection model in each current time step to ascertain one or more output variable(s) that correspond at least to a portion of the operating variables as a function of input variables which include at least a portion of the operating variables. The manipulation detection model includes an autoencoder having a first recurrent neural network, a prediction model having a second recurrent neural network, and an evaluation model, the outputs of the autoencoder and the prediction model being combined with one another and then conveyed to an evaluation model for an ascertainment of the output variables.

Abstract: A method for detecting manipulation of a technical device, particularly a technical device in a motor vehicle, especially an exhaust-gas treatment device. The method includes: providing a time series of an input vector having one or more system variables and having at least one manipulated variable for an intervention in the technical device; utilizing a data-based manipulation detection model which includes a recurrent neural network that is designed to determine a state vector as a function of the input vector, and an autoencoder which is designed to determine a reconstructed vector as a function of the state vector, detecting an anomaly as a function of a reconstruction error, which is a function of the reconstructed vector; and detecting a manipulation as a function of the reconstruction error.

Abstract: A method for creating a model of a technical system as a function of measured sensor data of the technical system. The method includes the following steps: initializing a symbolic regression problem. A list of mathematical functions is established, including at least one linear and/or non-linear function and/or at least a one-dimensional parameterizable characteristic curve. The at least one-dimensional characteristic curve is implemented by a Smoothed Grid Regression (SGR) model. Solving the symbolic regression problem with the aid of a genetic algorithm.

Abstract: A trimmer line spool has first and second spool chambers for a trimmer line. First and second holder pairs are provided. The first holder pair has first and second trimmer line holders associated with the first spool chamber and the second spool chamber, respectively. The second holder pair has first and second trimmer line holders associated with the first spool chamber and the second spool chamber, respectively. The trimmer line holders of the first holder pair each have a first opening for the trimmer line. The trimmer line holders of the second holder pair each have a second opening for the trimmer line. A diameter of the first openings is larger than a diameter of the second openings. The first openings are positioned at an angle of 150° to 210° to each other. The second openings are positioned at an angle of 150° to 210° to each other.

Abstract: A device and a computer-implemented method for classifying data, in particular for a Controller Area Network or an automotive Ethernet network. A plurality of messages is received from a communications network. A message that has a predefined message type is selected for an input variable for an input model of a plurality of input models of an artificial neural network associated with the predefined message type. The input variable is determined as a function of the message, and in an output area of the artificial neural network a prediction is output that is usable for classifying the message as a function of the input variable, or a reconstruction of an input variable is output that is usable for classifying the message as a function of this input variable.

Abstract: Flexible pipe body, a method of manufacturing flexible pipe body and a method of providing a flexible pipe are disclosed. The flexible pipe body includes a fluid retaining layer, at least one tensile armor layer, at least one extruded thermal insulation layer over an outermost one of the at least one tensile armor layers and an outer shield layer over the insulation layer.

Abstract: Flexible pipe body, a method of manufacturing flexible pipe body and a method of providing a flexible pipe are disclosed. The flexible pipe body includes a fluid retaining layer, at least one tensile armor layer, at least one extruded thermal insulation layer over an outermost one of the at least one tensile armor layers and an outer shield layer over the insulation layer.

Abstract: In a method for adjusting the fuel/air ratio in an internal combustion engine (1) comprising a converter (2) which is associated therewith, a composition of waste gas in the waste gas wing (3, 8) of the internal combustion engine (1) is detected by means of sensors (4, 5) and output signals from at least one of the sensors (4, 5) are used for producing a control signal in order to influence the fuel/air ratio. The fuel/air ratio is switched back and forth between a lean operating state with surplus oxygen and a rich operating state with an oxygen deficit by means of a characteristic line of the control signal. The characteristic line of the control signal is adapted to a current converter state. A characteristic curve contour of the characteristic line is adjusted according to the addition and/or desorption of an oxidation agent in the converter (2). The invention also relates to a device for carrying out said method.