Searching for authors named "Vasile Palade" – sorted by Relevance.
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Multi Classifier Systems - A Review and Roadmap for Developers", to appear
- Multi-Classifier Systems (MCSs) have fast been gaining popularity among researchers for their ability to fuse together multiple classification outputs for better accuracy and classification. At present, there is a lot of literature covering many of the issues and concerns that MCS designers encounte
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Neuro-fuzzy ensemble approach for microarray cancer gene expression data analysis
- Abstract — A Neuro-Fuzzy Ensemble model (NFE) is proposed in this paper for analysing the gene expression data from microarray experiments. The proposed approach was tested on three benchmark cancer gene expression data sets. Experimental results show that our NFE model can be used as an efficient c
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Belief Propagation in Fuzzy Bayesian Networks
- Abstract. Fuzzy Bayesian networks are a generalisation of classic Bayesian networks to networks with fuzzy variable state. This paper describes our formalisation and outlines how belief propagation can be conducted. Fuzzy techniques can lead to more robust inference. A key advantage of our formalisa
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Neuro-Fuzzy Based Fault Diagnosis Applied To An Electro-Pneumatic Valve
- The early detection of faults (just beginning and still developing) can help avoid system shutdown, breakdown and even catastrophes involving human fatalities and material damage. Computational intelligence techniques are being investigated as extension of the traditional fault diagnosis methods.
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B. Reusch (Ed.): Fuzzy Days 2001, LNCS 2206, pp. 152--161, 2001.
- The paper focuses on the problem of rule extraction from neural networks, with the aim of transforming the knowledge captured in a trained neural network into a familiar form for human user. The ultimate purpose for us is to develop human friendly shells for neural network based systems. In the
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FAULT DIAGNOSIS OF AN INDUSTRIAL GAS TURBINE USING NEURO-FUZZY METHODS Vasile Palade
- The paper focuses on the application of neuro-fuzzy techniques in fault detection and isolation. The objective of this paper is to detect and isolate faults to an industrial gas turbine, with emphasis on faults occurred in the actuator part of the gas turbine. A neuro-fuzzy based learning and ada
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