Radial Basis function Networks
Design of Radial Basis Function Neural Networks for Software Effort Estimation
... neural networks. This paper is devoted to the design of Radial Basis Function Networks for software cost ...the basis function, on the accuracy of the produced estimates ...
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Prediction of Reagents Needs Using Radial Basis Function in Teaching Hospital
... Abstract—A robust reagents prediction is able to support the service improvement in laboratories. In this paper, Radial Basis Function Networks (RBFN) method with (3, Q, 1) architecture is ...
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Performance-oriented asymptotic tracking control of hydraulic systems with radial basis function network disturbance observer
... However, in recent years, the intelligent control strategy based on neural networks (NNs) has been applied in multiple uncertain nonlinear dynamic sys- tems. Owing to universal approximation properties of smooth ...
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Soft Sensor Based on Dynamic Principal Component Analysis and Radial Basis Function Neural Network for Distillation Column
... neural networks (ANNs) are widely used estimation technique, and its successful application to the development of soft sensors for product composition estimation has already been reported for different processes ...
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Artificial neural networks: A novel approach to analysing the nutritional ecology of a blowfly species, Chrysomya megacephala
... neural networks, which are mathematical tools widely applied to the resolution of complex biological ...neural networks, namely Multi-Layer Perceptron (MLP), Radial Basis Function ...
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Radial basis function neural networks versus fuzzy models to predict return of consciousness after general anesthesia
... models. Radial Basis Function (RBF) neural networks were also built relating different sets of clinical values and the concentration at ...
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Vulnerability Assessment of Power System Using Radial Basis Function Neural Network and a New Feature Extraction Method
... neural networks are implemented using similar training and testing data sets obtained from the 467 simulation cases in which a sample of 350 cases (75%) are selected randomly for training and 117 cases (25%) for ...
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A DOE based approach for the design of RBF artificial neural networks applied to prediction of surface roughness in AISI 52100 hardened Steel turning
... RBF networks involves two phases. In the first, the parameters of the radial basis function (the centers and the spread factor) are ...activation function shall be ...
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Neural networks based predictive control for thermal comfort and energy savings in public buildings
... by radial basis function neural networks identified by means of a multi-objective genetic algorithm; the cost function that will be optimised to minimise energy consumption and maintain ...
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Prediction of dementia patients: A comparative approach using parametric vs. non parametric classifiers
... Neural Networks, Radial Basis Function Neural Networks, Support Vector Machines, CART, CHAID and QUEST Classification trees and Ran- dom Forests) as compared to Linear Discriminant ...
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J. Microw. Optoelectron. Electromagn. Appl. vol.12 número2
... T2L-scheme selects two layer of nodes (Fig. 4). The first layer corresponds to the 3 vertices of the cell and the second layer holds the nodes that are directly connected to the first layer nodes. This scheme generally ...
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Close Range Photogrammetry and Neural Network for Facial Recognition
... In summary, two major challenge for face recognition were discussed in literature; first, finding the suitable characteristics feature to be used for face recognition, these features could be radiometric wish can changed ...
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Análise da exploração de redes urbanas de transporte ferroviário : o caso do metro do Porto
... - 1 2 3 4 5 6 7 8 9 10 Hanôver (Radial) Colónia (Radial) Bielefeld (Radial) Munique (Radial) Madrid (Radial) Berlim (Radial) Praga (Radial) Paris (Radial) Londres (Radial) Milão (Radial[r] ...
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Is A New Combination of Tendon Transfers For Radial Nerve Palsy (RNP) Needed?
... In the illustrated case, the surgeon had used a modified tendon transfer technique with transferring PT to EDC to restore fingers extension, FCR to EPL for thumb extension, and FDS of ring finger to ECRB for wrist ...
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Algorithmic paranoia and the convivial alternative
... the function by minimising the cost of the dif- ference between the outputs predicted by the function and a set of known outputs called a training ...of function f for being different from the ...
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Soybean development as a function of traffic of tractor with radial tires
... O presente trabalho teve como objetivo avaliar o desenvolvimento de lavoura de soja em função de níveis de tráfego de trator agrícola equipado com rodados radial em duas áreas de coleta. O experimento foi ...
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Pesqui. Oper. vol.29 número2
... approaches (Rippa, 1999). A recent paper (Goto et al., 2007) shows that empirical approaches for obtaining the shape parameter may be misleading or require previous knowledge of analytical solutions. Thus, this paper ...
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Radial basis functions collocation method for solution of MagnetohydrodynamicNono boundary-layer flows
... stream function, , velocity distribution of flow, and the function of shear stress, , for the case of the viscous flows over a two dimensional stretching surface, m=1 and by sitting ...
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Anomalous Diffusion with Step-Function Injection in a Radial Geometry
... Because of the difficulty to get the analytical inversion of Laplace space equations back to real time and space, a number of numerical methods have been developed to calculate these inverses. Of these methods, the ...
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Comput. Appl. Math. vol.24 número1
... Abstract. In order to have accurate operation, synchronous telecommunication networks need a reliable time basis signal extracted from the line data stream in each node. When the nodes are synchronized, ...
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