We present solutions for GPS orbit computation from broadcast and precise ephemerides using a group of artificial neural networks (ANNs), i.e. radial basis function networks (RBFNs). The problem of broadcast orbit correction, resulting from precise ephemerides, has already been solved using traditional polynomial and trigonometric interpolation. As an alternative approach RBFN broadcast orbit c...

Consider a multilayer perceptron (MLP) with d inputs, a single hidden sigmoidal layer and a linear output. By adding an additional d inputs to the network with values set to the square of the rst d inputs, properties reminiscent of higher-order neural networks and radial basis function networks (RBFN) are added to the architecture with little added expense in terms of weight requirements. Of pa...

A novel Radial Basis Function Network (RBFN) assisted Decision-Feedback aided Space-Time Equalizer (DF-STE) designed for receivers employing multiple antennas is introduced. The proposed receiver structure outperforms the linear Minimum Mean-Squared Error benchmarker and it is less sensitive to both error propagation and channel estimation errors.

Landslides frequently occur along the eastern margin of Tibetan Plateau, which poses a risk to construction, maintenance, and transportation proposed Dujiangyan city Siguniang Mountain (DS) railway, China. Therefore, four advanced machine learning models, namely, Bayesian network (BN), decision table (DTable), radial basis function (RBFN), stochastic gradient descent (SGD), are in this study de...

In this short note we analyze the performance of Backpropagation Neural Network (BPNN), Radial Basis Function Network (RBFN), Classification Based on Multiple Association Rule (CMAR) and Classification Based on Association (CBA) on mammographic mass data from UCI repository. The performance of the classifier is evaluated using sensitivity, specificity and classification accuracy.

A Radial Basis Function Network (RBFN) classifier for hard fault location in CMOS analogue circuit is presented. The network is trained by means of a fault dictionary containing the faulty circuit response, which is obtained by simulating the supply current dynamic response.

The aim of this paper is to study the performance a composite floor system at different heat stages using artificial intelligence derive sustainable design and select most critical factors for elevated temperatures. In system, load bearing due action between steel concrete materials which achieved by shear connectors. Although connectors play an important role in transferring force from profile...

there are many reports of serious problems of dust storm events in the western parts of iran. based on many researches, iraq is one of the main sources of dust storms in western parts of iran. the radial basis function network (rbfn) model has been used to assess wind erosion hazard in iraq as a main source area of dust storms over several western cities of iran. the percentage of vegetation is...

This paper describes a new approach for approximating the inverse kinematics of a manipulator using a RBFN (Radial Basis Function Network). A training approach using the strict interpolation method and the LMS (Least Mean Square) algorithm is presented. The strict interpolation method with regularly spaced position training patterns in the workspace can produce an appropriate approximation of t...