Gaussian radial basis network
Classification of aircraft images using different architectures of radial basis function neural network : a performance comparison
... classification performance of Goal Oriented Radial Basis Architecture, Generalized Gaussian. Neural Network Architecture and Probabilistic Neural Network Architecture is [r] ...
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Radial basis function neural network for software engineering measures A survey
... of radial basis Function network forms with the three layers, those are input layer, hidden layer and output ...the network. Next, hidden layer is formed with the Gaussian function such ...
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Prediction of Daily Network Traffic based on Radial Basis Function Neural Network
... each network traffic data was captured by the CACTI ...daily network traffic data was analyzed using MATLAB ...is Gaussian function, in which general requires for input value between 0 and ...daily ...
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Orthogonal forward selection for constructing the radial basis function network with tunable nodes
... In the work [10], various state-of-the-art RBF and kernel modelling techniques were applied to construct Gaussian RBF network models for this data set, and the LROLS- LOO algorithm produced the best result. ...
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Maximum 2-satisfiability in radial basis function neural network
... neural network as the feed-forward network which was first used by Moody and Darken ...layer, Gaussian activation function has been introduced. Gaussian activation function i x of the ...
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Novel Radial Basis Function Neural Networks based on Probabilistic Evolutionary and Gaussian Mixture Model for Satellites Optimum Selection
... on Radial Ba- sis Function Neural Network (RBFNN) to approximate the functions with high non-linear ...and Gaussian Mixture - of Gradient Descent (GD) in terms of the input feature ...a ...
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Learning enhancement of radial basis function neural network with harmony search algorithm
... that radial basis functions are entrenched in two feed-forward neural network ...a Gaussian function, is applied to each of ...this network are indeed a composition of non- linear ...
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Application of Radial Basis Function Network for Content Based Image Retrieval
... The architecture of the RBFN is given in Figure 2.It is composed of an input layer, A Gaussian kernel layer and an output layer. The input data will be p-dimensional low- level feature vector. They are connected ...
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Multilingual Speech Recognition Using Radial Basis Function (RBF) Neural Network
... used Gaussian Activation function to calculate the output response of the ...the Radial Basis Function Network shown in Fig-5 , it made up of three layers namely input layer, hidden layer and ...
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Design of Hanman Entropy Network from Radial Basis Function Network
... RBFN deals with attrubute/feature values that are clustered. The attribue values in a cluster are fitted with the radial basis function which is another name for Gaussian function. RBFN fuzzifies the ...
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A Neuro-fuzzy approach for user behaviour classification and prediction
... or network access, ...of network/web usage of users and then predicts the behaviour as one of the predefined ...the network is equipped with a monitoring system that pre- vents users from performing ...
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Radial basis function neural network learning with modified backpropagation algorithm
... RBFNN‟s hidden node performs distance transformation of the input space. The RBF fundamental design maps non-linear problem into a high dimension space which turns the problem into a linear one. Linear and non-linear ...
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Medium term load demand forecast of Kano zone using neural network algorithms
... adequate network coverage and provision of quality power supply to the public in addition to sufficient marketing and customer service ...constant network upgrade or overhauling which may not be achieved ...
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Adaptive Inverse Control of Proton Exchange Membrane Fuel Cell Using RBF Neural Network
... Neural networks as efficient tools for identification and control of unknown systems have proved themselves in many investigations due to handle complex input-output mapping without detailed analytical model of the ...
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Prediction of Tourist Quantity Based on RBF Neural Network
... neural network modeling, whether to choose a set of input variables which can best reflect the reason for desired output changes is directly related to the performance of neural network ...neural ...
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Learning enhancement of radial basis function network with particle swarm optimization
... Radial Basis Function (RBF) Networks form a class of Artificial Neural Networks (ANNs), which has certain advantages over other types of ANNs, such as better approximation capabilities, simpler ...
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An Application Of Radial Basis Function In Identifying Banana Maturity Level
... This project will focus on application of Artificial Neural Network to solve pattern recognition (classification) problem. A set of banana’s maturity level is chosen in a case of classification problem. The ...
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Radial basis functions for the sphere
... Hubbert, Simon and Baxter, Brad J.C. (2001) Radial basis functions for the sphere. In: Haussmann, W. and Jetter, K. and Reimer, M. (eds.) Recent Progress in Multivariate Approximation. 4th International ...
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Classification of breast cancer microarray data using radial basis function network
... Ng, E. Y. K., Peh, Y. C., Fok, S. C., Ng, F. C., and Sim, L. S. J. (2002). Early Diagnosis of Breast Cancer Using Artificial Neural Network with Thermal Images. Proceedings of Kuala Lumpur International Conference ...
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Skin Lesion Classification Using Hybrid Spatial Features and Radial Basis network
... Abstract: In this paper we used hybrid spatial features representation and Radial basis type network classifier to classify melanoma skin lesion. There are five different skin lesions commonly ...
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