Process control using neural network

TL;DR: In this article, a diagnostic system for use in a process control system collects and stores in a database information pertaining to the operation of the process control systems, and uses an expert engine to apply rules for analysis to the information in the database to determine solutions to problems.

TL;DR: In this paper, the authors present a system for monitoring an industrial process and taking action based on the results of process monitoring, such as process control, paging, voicemail, and input for e-enterprise systems.

TL;DR: In this article, a diagnostic tool automatically collects and stores data indicative of variability parameters, a mode parameter, a status parameter and a limit parameter associated with each of the different devices, loops or function blocks within a process control system.

TL;DR: In this article, a process control system uses a data collection and distribution system and an asset utilization suite to collect data or information pertaining to the assets of a process plant from various sources or functional areas of the plant including, for example, the process control functional areas, the maintenance functional areas and the process performance monitoring functional areas.

TL;DR: A modified error-back propagation algorithm, based on propagation of the output error through the plant, is introduced, for learning several learning architectures for training the neural controller to provide the appropriate inputs to the plant.

TL;DR: In this article, a network of N parallel processors are each one cross-connected to each other and each cross connection includes a nodal weight delay circuit which carries status information as to whether a processor is "on" (=1) or "off" (=0) and whether its weighted influence (wij) is excitatory or inhibitory as between the two processors i and j on that cross connection.

TL;DR: In this article, a neural-simulating system for an image processing system includes a plurality of networks arranged in a plurality-of layers, the output signals of ones of the layers provide input signals to the others of layers.