Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 72 for “"rbf"”.
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Improvement of pavement mechanistic-empirical design (PMED) virtual weather station interpolation model using radial basis function - Tennessee case study
… technique and that by a Radial Basis Function (RBF). RBF interpolation showed very fast error convergence with the increase in number of interpolation data as compared to the gravity model. Contour plots emphasized the quality of interpolation where the RBF model produced well defined contours …
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DEVELOPMENT AND APPLICATIONS OF MACHINE/DEEP LEARNING TECHNIQUES IN FLUID DYNAMICS
… enhanced by the Gaussian radial basis function (RBF) with trainable centers and widths. Activated by Gaussian RBFs, the proposed MLP-RBF network is more accurate and efficient in nonlinear regression problems. Secondly, in view of the network structure, RBF approximation is deployed in each …
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Development of Adaptive and Factorized Neural Models for MPC of Industrial Systems
… techniques using radial basis function (RBF) networks often provide competitive modelling performances but encounter slow recovery speed when processes operating regions are shifted largely. In addition, RBF networks based model predictive control results as a non-linear programming …
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The Battle is Not Ours!: The Impact of Racial Battle Fatigue on the Career Trajectory of Black Women Administrators at Predominantly White Institutions
… examines the impact of Racial Battle Fatigue (RBF) on the career progression of Black women administrators at Predominantly White Institutions (PWIs). While RBF has been studied extensively among students and faculty, there has been little research exploring its influence on Black women leaders …
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Training hierarchical networks for function approximation
… kernel machines with the Radial Basis Functions (RBF).We investigate the difficulty of training RBF networks with stochastic gradient descent (SGD) and hierarchical RBF. We discovered that training singled layered RBF networks can be quite simple with a good initialization and good choice of …
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A radial basis function approach to pricing and hedging options incorporating transaction costs
… training algorithm in developing RBF network models for the purpose of pricing and hedging options. An empirical study was first conducted to determine the suitability of our RBF network models in recovering simulated Black-Scholes option prices. We then assessed their ability to …
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Dynamic recurrent neural networks for stable adaptive control of wing rock motion
… forces. In this thesis, dynamic recurrent RBF (Radial Basis Function) network control methodology is proposed to control the wing rock motion. The concept based on the properties of the Presiach hysteresis model is used in the design of dynamic neural networks. The structure and memory …
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Rethinking health care financing models: the case of Zimbabwe's health sector
… purpose of the current study was to assess how RBF performed in terms of efficiency, effectiveness, equity and governance in the Zimbabwean context. It outlines the evolution of health systems thinking and health funding models over time to show the history and changing landscape of health care …
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Neural Model-Based Advanced Control of Chylla-Haase Reactor
… proposed in this thesis: radial basis function RBF neural network inverse model based feedforward-feedback control scheme, RBF based model predictive control and multi-layer perception (MLP) based model predictive control. The major objective of these control schemes is to maintain the reactor …
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Sympathetic neural control of renal blood flow
… parts, investigate how total renal blood flow (RBF) and intrarenal blood flow are controlled by these changes in RSNA. While RSNA and RBF both show oscillations at various frequencies, the functional significance and regulation of these oscillations is not well understood. To establish whether …
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Advanced Neural Network Based Control for Automotive Engines
… schemes are proposed: radial basis function(RBF) neural network based feedforward-feedback control scheme, RBF based model predictive control scheme, and diagonal recurrent neural network (DRNN) - based model predictive control scheme. The major objective of these control schemes is to …
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The prevention of internal identity theft-related crimes: a case study research of the UK online retail companies.
… Second, it extends a role-based framework (RBF) for the prevention of IIDTRC. Third, it evaluates the extent the RBF can be applied in the prevention of IIDTRC in online retail companies. A qualitative case study was used to achieve these aims. The empirical data were collected in the …
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Production and bioactivity of Ganoderma lucidum BCCM 31549 exopolysaccharide using submerged liquid fermentation
The RBF strategy has successfully produced fungal mycelial biomass and EPS in a very strictly regulated manner at high productivity rates compared to batch fermentation. The problematic lag phase and seed culture preparation were reduced in length; harvesting volume doubled, yield of product …
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Real-time identification of an unmanned quadcopter flight dynamics using fully tuned radial basis function network
… utilised a fully tuned radial basis function (RBF) neural network to obtain a minimal structure and avoid pre-determining the number of hidden neurons by introducing the adding and pruning neuron strategy. The prediction performance of the proposed fully tuned RBF was compared with Multilayer …
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An evaluation of support vector machines in consumer credit analysis
… vector machine using a radial basis function (RBF) kernel is compared to a previous implementation of a decision tree machine learning model. The dataset used for evaluation was provided by a large bank and includes relevant consumer-level data, including transactions and credit-bureau data. …
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A multilevel method for meshless solution of the poisson equation in heat transfer and fluid flow
Meshless methods using radial basis functions (RBF) are an attractive alternative to grid based methods for solving partial differential equations in complex geometries. Gaussian, Multiquadratics and inverse Multiquadratics are some of the more popular RBF's, but the require a shape paramter for a …
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Evaluation of Spatial Interpolation Techniques Built in the Geostatistical Analyst Using Indoor Radon Data for Ohio,USA
… estimates, and the radial basis function (RBF) technique meets all the acceptable criteria for low-end and mid-range estimates. After considering the closeness of the greater number of measures to their respective ideal values, graphical representations of the scatter plots and QQ plots, …
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Teaching a robot manipulation skills through demonstration
… analyzed spatially using radial basis functions [RBFs] to interpolate demonstrations to span his workspace, using the object position as the motion blending parameter. An analysis of the motions in the object coordinate space [with the origin defined at the object] and absolute world-coordinate …
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Learning control of bipedal dynamic walking robots with neural networks
… Three neural network models (BP, CMAC and RBF networks) are studied. The RBF network is chosen as best, despite its weakness at covering high dimensional input spaces. To overcome this problem, a self-organizing scheme of data clustering is explored. This system is applied successfully in a …
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Ensemble-based Supervised Learning for Predicting Diabetes Onset
… Optimisation (SMO), Radial Basis Function (RBF), Naïve Bayes (NB), Repeated Incremental Pruning to Produce Error Reduction (RIPPER) and C4.5 decision tree), performing the same task, are exploited in all possible combinations to construct 26 ensemble models. The training data feature space …
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