Patent
Method and apparatus for system state monitoring using pattern recognition and neural networks
Anders Vinberg,Ronald Cass,David E. Huddleston,John D. Pao,Phil K. Barthram,Christopher Bayer +5 more
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TLDR
Pattern recognition of common modes by neural networks and other techniques are used to monitor and determine or predict the state of networks, computers, software systems, logical networks or other components of an information system, to report actual or predicted states, and to report other state characteristics.Abstract:
Pattern recognition of common modes by neural networks and other techniques are used to monitor and determine or predict the state of networks, computers, software systems, logical networks or other components of an information system, to report actual or predicted states, and to report other state characteristics.read more
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References
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Automatic immune system for computers and computer networks
TL;DR: In this article, the authors propose a method to detect undesirable software entities, such as a computer virus, worm, or Trojan Horse, in a data processing system by detecting anomalous behavior that may indicate the presence of an undesirable software entity.
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Rule based diagnostic system with dynamic alteration capability
TL;DR: In this paper, a rule network is used for propagation of belief leading to one or more possible malfunctions of equipment in the operating system. But, the propagation is dynamically altered as a function of the operating conditions of the sensors themselves.
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Process control method and system for performing control of a controlled system by use of a neural network
Nomura Masahide,Tadayoshi Saito,Hiroshi Matsumoto,Makoto Shimoda,Masakazu Kondoh,Miyagaki Hisanori,Akira Sugano,Nobuyuki Yokokawa +7 more
TL;DR: In this article, a method for controlling a controlled system by a controller such that a controlled variable can be brought into conformity with a desired value is presented, where the information with the characteristics contained therein is inputted to a neural network which has been caused beforehand to learn a correlation between the information containing the characteristics and control parameters.
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Computer neural network supervisory process control system and method.
TL;DR: In this article, a neural network for adjusting a setpoint in process control replaces a human operator, and the neural network operates in three modes: training, operation, and retraining.