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Showing 1 to 8 of 8 for “"radial basis function networks"”.

  1. A Radial Basis Function Approach to a Color Image Classification Problem in a Real Time Industrial Application

    In this thesis, we introduce a radial basis function network approach to solve a color image classification problem in a real time industrial application. Radial basis function networks are employed to classify the images of finished wooden parts in terms of their color and species. Other …

    vt Repository record for A Radial Basis Function Approach to a Color Image Classification Problem in a Real Time Industrial Application (opens in a new tab)

  2. Modular Neural Networks for Analysis of Flow Cytometry Data

    … samples is still required. Artificial Neural Networks (ANNs) are one of the tools applied to FC data analysis. <br/><br/>Despite several successful applications, ANNs have not been widely adopted by the marine biologist community, as they can not possible to change the number of species in the …

    southwales Repository record for Modular Neural Networks for Analysis of Flow Cytometry Data (opens in a new tab)

  3. Teleoperation System for Autonomous Vehicles

    … to alleviate the impact of signal latency. And Radial Basis Function Networks (RBFN) are employed to effectively manage the uncertain nonlinear dynamics of the vehicle. Subsequently, a saliency-based object detection (OD) algorithm, named SalienDet, is proposed to identify objects not present in …

    vt Repository record for Teleoperation System for Autonomous Vehicles (opens in a new tab)

  4. Neural Network Techniques for the Identification and Classification Marine Phytoplankton from Flow Cytometric Data

    … from phytoplankton cells. The superiority of radial basis function networks (RBF) over multi-layer perception networks (MLP), for data of this nature, has been established, and analysis of 62 marine species of phytoplankton represents an<br/>advancement in the number of classes …

    southwales Repository record for Neural Network Techniques for the Identification and Classification Marine Phytoplankton from Flow Cytometric Data (opens in a new tab)

  5. Intelligent autopilots for ships

    … to seek the optimum of a pre-set performance function. Despite such a potential advantage, at present adaptive control theory is limited to linear plants and requires a certain amount of a-priori information for a successful application.<br/><br/>This thesis is concerned with the applicability …

    southwales Repository record for Intelligent autopilots for ships (opens in a new tab)

  6. An RBFN-based system for speaker-independent speech recognition

    … compared. Phone recognition is performed using a radial basis function network (RBFN). Dynamic time warping (DTW) is used for word recognition. The TIMIT database is used to design and test the automatic speech recognition (ASR) system. Several feature sets using mel-scale filter bank (MSFB), …

    vt Repository record for An RBFN-based system for speaker-independent speech recognition (opens in a new tab)

  7. Autoencoder-based techniques for improved classification in settings with high dimensional and small sized data

    … gener-ated representations. Employing the radial basis activation mecha-nism used in radial-basis function networks, which learn in a super-vised manner, was a solution provided by this thesis to enhance therepresentations learned by unsupervised algorithms. This techniquewas later applied …

    waikato-masters Repository record for Autoencoder-based techniques for improved classification in settings with high dimensional and small sized data (opens in a new tab)

  8. Machine learning applications for the topology prediction of transmembrane beta-barrel proteins

    … adopt various conformations that are about the functions that they provide. The two most predominant classes are alpha-helix bundles and beta-barrel transmembrane proteins. Alpha-helix proteins are present in larger numbers than beta-barrel transmembrane proteins in structure databases. …

    london-metro Repository record for Machine learning applications for the topology prediction of transmembrane beta-barrel proteins (opens in a new tab)