The modelling and generalization abilities of a class of neural algorithms called neurofuzzy networks are investigated. Neurofuzzy networks try to combine the vague linguistic representation of fuzzy logic with the le...
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The modelling and generalization abilities of a class of neural algorithms called neurofuzzy networks are investigated. Neurofuzzy networks try to combine the vague linguistic representation of fuzzy logic with the learning abilities of neuralnetworks. Also discussed is the Cerebellar model articulation controller (CMAC) which is a tabular look-up table for generalizations.
Applications of neuro-fuzzy systems have provided advances in the ability to deal with abrupt fault conditions and incorporate multiple fault conditions. The support for ambiguities or approximate information implicit...
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Applications of neuro-fuzzy systems have provided advances in the ability to deal with abrupt fault conditions and incorporate multiple fault conditions. The support for ambiguities or approximate information implicit in fuzzy systems modelling provides the basis for teleological modelling. Finally, we draw attention to recent advances to the integration of fuzzy systems and Dempster-Shafer belief structures. The ensuing fuzzy system is better able to explicitly represent the characteristics of noise sources, therefore improving false alarm rates.
Instead of modeling complicated processes by mathematical formulas, neuralnetworks learn this tasks autonomously and is suited for modeling, optimization, forecasting, and control of multidimensional nonlinear system...
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Instead of modeling complicated processes by mathematical formulas, neuralnetworks learn this tasks autonomously and is suited for modeling, optimization, forecasting, and control of multidimensional nonlinear systems and processes. This high potential for applications of neural nets are realized in the corporate research divisions of Siemens in Munich (ZFE) and Princeton (SCR). The broad range of applications on which the central research division cooperates with the business units are presented. These include ideas for steel solutions for metals, neuralnetworks in water business, smoke detection, Simulation Environment for neural nets (SEneuralnetworks) and weather forecasting.
The proceedings contains 7 papers on nonlinear control. Some of the topics discussed include control system synthesis and analysis, neuralnetworks, mathematical models, system stability, optimal controlsystems, unce...
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The proceedings contains 7 papers on nonlinear control. Some of the topics discussed include control system synthesis and analysis, neuralnetworks, mathematical models, system stability, optimal controlsystems, uncertainty, adaptive control, fuzzy sets, state estimation and control theory.
The proceedings contain nine papers on unmanned and remotely operated vehicles. Topics include unmanned submarines and aircraft, remote control, controlsystems, neuralnetworks, flight dynamics, and navigation systems.
The proceedings contain nine papers on unmanned and remotely operated vehicles. Topics include unmanned submarines and aircraft, remote control, controlsystems, neuralnetworks, flight dynamics, and navigation systems.
On-line dynamic security analysis has now become realistic due to advances in computer technology and algorithms for security assessment. Details of pattern recognition based electro, mechanical stability screens whic...
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On-line dynamic security analysis has now become realistic due to advances in computer technology and algorithms for security assessment. Details of pattern recognition based electro, mechanical stability screens which have been implemented within a dynamic security assessor are presented. Use of statistical functions of features is shown to overcome the dimensionality problem of applying pattern recognition techniques to large power systems. The low computational cost of this approach coupled with efficient operation has resulted in a significant step towards achieving full online dynamic security assessment.
The proceedings contains 5 papers. Topics discussed include safety related systems, software for programmable logic controllers, safety aspects in expert systems, neuralnetworks and fuzzy logic, control and safety st...
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The proceedings contains 5 papers. Topics discussed include safety related systems, software for programmable logic controllers, safety aspects in expert systems, neuralnetworks and fuzzy logic, control and safety strategy in water industry.
This paper describes the forward-backward module: a simple building block that allows the evolution of neuralnetworks with intrinsic supervised learning ability. This expands the range of networks that can be efficie...
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This paper describes the forward-backward module: a simple building block that allows the evolution of neuralnetworks with intrinsic supervised learning ability. This expands the range of networks that can be efficiently evolved compared to previous approaches, and also enables the networks to be invertible i.e. once a network has been evolved for a given problem domain, and trained on a particular dataset, the network can then be run backwards to observe what kind of mapping has been learned, or for use in control problems. A demonstration is given of the kind of self-training networks that could be evolved.
The proceedings contains 11 papers from the 1996 ieecolloquium on Modelling and Signal Processing for Fault Diagnosis. Topics discussed include: fault detection using neuralnetworks;signal processing and statistical...
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The proceedings contains 11 papers from the 1996 ieecolloquium on Modelling and Signal Processing for Fault Diagnosis. Topics discussed include: fault detection using neuralnetworks;signal processing and statistical process control (SPC);pattern recognition;condition monitoring systems;fault diagnosis of engineering systems;two-stage adaptive line enhancer (ALE);deconvolution;robust fault detection observer (RFDO);and fault detection and isolation (FDI).
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