LANDSLIDE HAZARD MAPPING USING A RADIAL BASIS FUNCTION NEURAL NETWORK MODEL: A CASE STUDY IN SEMIROM, ISFAHAN, IRAN

A supervised radial basis function neural network

Face Detection Using a Modified Radial Basis Function Neural Network

Face detection from cluttered images is very challenging due to the diverse variation of face appearance and the complexity of image background. In this paper, we propose a neural network based approach for locating frontal views of human faces in cluttered images. We use a radial basis function network (RBFN) for separation of face and non-face patterns and the complexity of RBFN is reduced by...

Fast Voltage and Power Flow Contingency Ranking Using Enhanced Radial Basis Function Neural Network

Deregulation of power system in recent years has changed static security assessment to the major concerns for which fast and accurate evaluation methodology is needed. Contingencies related to voltage violations and power line overloading have been responsible for power system collapse. This paper presents an enhanced radial basis function neural network (RBFNN) approach for on-line ranking of ...

Landslide hazard zonation using artificial neural network model downstream of Sanandaj Dam

Extended abstract 1- Introduction     Landslide as a morphological risk factor is the result of the operation of natural and environmental factors that, like other morphological irregularities, causes damage to human facilities, infrastructure, and property. One of the most significant works of geomorphology is the identification of stable landforms and places with minimal potential for catas...

Training Radial Basis Function Neural Network using Stochastic Fractal Search Algorithm to Classify Sonar Dataset

Radial Basis Function Neural Networks (RBF NNs) are one of the most applicable NNs in the classification of real targets. Despite the use of recursive methods and gradient descent for training RBF NNs, classification improper accuracy, failing to local minimum and low-convergence speed are defects of this type of network. In order to overcome these defects, heuristic and meta-heuristic algorith...