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Showing 1 to 9 of 9 for “"Radial basis function neural network"”.

  1. Spatially varying threshold models for the automated segmentation of radiodense tissue in digitized mammograms

    Eckert, Richard Edson, III2016

    … a digitized mammogram. The algorithm employs a radial basis function neural network in order to segment the breast tissue region from the remainder of the X-ray. A spatially varying Neyman-Pearson threshold is used to calculate the percentage of radiodense tissue and compensate for the effects …

    rowan Repository record

  2. Signal processing and image restoration techniques for two-dimensional eddy current nondestructive evaluation

    Wang, Bing1997

    … compression capability of the wavelet basis to greatly reduce the amount of computation with small loss in accuracy. To further improve the speed of forward modeling, we have developed a fast eddy current model based on a radial basis function neural network. This dissertation also …

    iastate Repository record

  3. Topographic mappings and feed-forward neural networks

    Tipping, Michael E.Aston University1996

    … of geometric structure - with feed-forward neural networks. As an alternative to established methods, a transformational variant of Sammon's method is proposed, where the projection is effected by a radial basis function neural network. This approach is related to the statistical field of …

    aston Repository record

  4. Weather Radar image Based Forecasting using Joint Series Prediction

    Kattekola, Sravanthi

    … meteorology [1], [2], [3] and [4]. Competitive Radial Basis Function Neural Networks (CRBFNN) [5] is one of the methods used for weather radar image based forecasting. Recently, an alternative CRBFNN based approach [6] was introduced to model the precipitation events. The difference between the …

    uno Repository record

  5. Modified penalty functions and parameterization: Non-conventional methodology for multi-objective constrained optimization.

    Sanongboon, PronnapaFaculty of Graduate Studies and Research, University of Regina2006

    regina Repository record

  6. Classification Techniques Using EHG Signals for Detecting Preterm Births

    Idowu, IOLiverpool John Moores University2017

    … of the Levenberg-Marquardt trained Feed-Forward Neural Network, Radial Basis Function Neural Network and the Random Neural Network classifiers performed the best, with 91% for sensitivity, 84% for specificity, 94% for the area under the curve and 12% for the mean error rate. Applying advanced …

    liverpool-jm Repository record

  7. Monitoring and Fault Diagnosis for Chylla-Haase Polymerization Reactor

    Ertiame, AMSLiverpool John Moores University2016

    … proposed polymerization reactor. An independent radial basis function neural networks (RBFNN) are developed and employed here for an on-line diagnosis of actuator and sensor faults. In this research, a robust fault detection and isolation (FDI) scheme is developed for open-loop exothermic …

    liverpool-jm Repository record

  8. Fast Algorithm for Modeling of Rain Events in Weather Radar Imagery

    Paduru, Anirudh

    … can be modeled as a combination of localized functions using Radial Basis Function Neural Networks (RBFNNs). Tracking of rain events can be performed by tracking the parameters of these localized functions. The RBFNN-based techniques used in forecasting are not only computationally expensive, …

    uno Repository record

  9. Estimation Of Hybrid Models For Real-time Crash Risk Assessment On Freeways

    pande, anurag

    … loop detector data, which may be used as the basis for classifying real-time traffic conditions into 'normal' or 'crash prone' in the future. In this regard traffic data in this study were also collected for cases which did not lead to crashes (non-crash cases) so that the problem may be set …

    ucf