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Search results for: neural network
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Year: 2009, Volume: 9, Issue: 3
... Radial Basis Function spread parameter value for functions of those neural (RBF) neural network method used to analyze ... and a wavelet scaled morphological information as features and a neural-network by a at a given time Ï„. The ... is localized in time classifier for differentiating the ECG beats. In [4 ], the author and is ...
Year: 2009, Volume: 9, Issue: 3
... ] Battiti, R., "Using mutual information for selecting features in supervised neural net learning", IEEE Trans. on Neural Networks, Facial expression recognition ... on hybrid face vol. 5, no. 4, pp. 537-550, 1994. regions (HFR) has been investigated to determine the part of [ ...
Year: 2009, Volume: 9, Issue: 3
... diagnosis for DC motor. The aim of intelligence (AI) methods e.g. neural networks, fuzzy logic, the research is to prevent system faults. Online ... diagnosis neuro-fuzzy schemes, evolutionary programming, expert has been studied. Design of fault diagnosis has two main levels: system, genetic algorithms, etc. [4 ...
Year: 2009, Volume: 9, Issue: 2
... A. Review of SCADA systems (FLC) on neural network (NN). He has successfully avoided ... corporate industrial process, but the SCADA system may allow networks but the ramifications of a SCADA breach are far ... to change the set points for the flow, and enable more worrying than disruption to production. alarm conditions ...
Year: 2009, Volume: 9, Issue: 1
... load bus. This method evaluates the ability profiles using neural-fuzzy models", 16th IEEE/PES Transmission and ... the difficulties encountered in optimal planning and operation of distribution networks. forecast, the voltage control, determination of ... customer information. In a distribution II. GENERAL CONSIDERATIONS network, there is in any moment certain degree of ...
Year: 2008, Volume: 8, Issue: 2
... by systems which make use of computational scheme similar to neural. Unified methodological approach was developed for certificates and ... of Pyramidal and Parallel-Hierarchical Image Processing on the Base of Neural-Like Network Systems Volodymyr KOZHEMYAKO1, Leonid TIMCHENKO2, Andriy ... mask function of current (m) and tail mask networks C2( i, j). Also as ...
Year: 2008, Volume: 8, Issue: 2
... Computer Engineering Volume 8, Number 2, 2008 Training Neural Networks Using Input Data Characteristics Cosmin CERNĂZANU "Politehnica ... University of Timişoara Vasile Pârvan St., No. 2, Timişoara cosmin.cernazanu@ac.upt.ro Abstract — Feature selection ... algorithm. The aim speed for a feedforward multilayer neural network. These of this paper consists in trying to ...
Year: 2008, Volume: 8, Issue: 1
... anatomical structures, as Lung segmentation by pixel classification using neural in the case of a general-use ontology, but ... on networks has been investigated by McNitt-Gray et al. [12], radiography entities because a segmentation application ... enhanced, such as the characteristics visible of a conceptual network. radiograph. Unlike all the other medical ontologies ...
Year: 2008, Volume: 8, Issue: 1
... belief networks, and artificial specifies the type and value range for each field. neural networks. The ways in which the knowledge can be formulated are called models ... that are the inputs to the models and trees, fuzzy rules, Bayesian belief networks, and artificial specifies the type and value range for each field. neural ...
Year: 2008, Volume: 8, Issue: 1
... fits data to the consumption: A comparison of regression analysis, decision tree and neural networks". following equation: [6] W. Popinski, " ... of trigonometric and polynomial regression estimation", Warsaw, Applied Mathematics, 1998. 20 ...
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