Abstract: In the production of de-inked pulp, measuring devices are used to register spectral and/or physical characteristic values of a starting material. These values are then fed to a neural network, by means of which correction variables are obtained for a regulating or controlling device which in provided. According to the invention, the measuring device is used to evaluate at least the starting materials of the production of pulp and/or paper. The evaluation of the characteristics of the raw material used in the production of pulp and paper is thereby possible.

Abstract: A method and apparatus for using a neural network to control a paper or paper board production machine. By using spectrum measuring devices, the characteristics of the starting materials for the paper and board production and/or their intermediate or final products are registered and the values fed to a neural network. The network provides statements concerning the paper and board quality, from which signals for the feedback and/or feedforward control of the production process may be derived.

Abstract: A method for quickly controlling the output of a power plant having a turbo-generator set with a steam turbine and a generator, activates energy storage present during a plant process in order to set an additional generator output. In order to achieve a particularly effective control, fuzzy logic is used for the controlled activation of the energy storage. Fuzzy-logic rules from experience at the plant are used in this process. An apparatus for carrying out the method includes a fuzzy-logic system having inputs which include the additional generator output and an energy situation of the activatable storage, and outputs that specify desired setting values for the degree of activation of the individual energy storage.

Abstract: Apparatus for the operation of a plant for producing deinked pulp with state analysers constructed in the form of neural networks for the waste paper suspension.At least one measuring device (ME) records spectral and/or physical characteristic values (IMf, Mp) of a waste paper suspension (PS). Furthermore, there are closed-loop or open-loop control devices (RS1 . . . RS8) for operating means of a waste paper preparation (AAA) in the plant. According to the invention, there is at least one state analyser (ZA), configured in the form of a neural network (NNg) or a plurality of parallel neural networks (NN1 . . . NN4), for the waste paper suspension (PS). This analyser forms from the characteristic values (IMf, Mp) controlled variables (ST: AB, AZ, FL, AA, AS, AT) for process control of the closed-loop or open-loop control devices (RS1 . . . RS8) of operating means at least of the waste paper preparation (AAA).