In the paper, the problem of multi-objective (MOBJ) learning is discussed. The problem of obtaining apparent (effective) complexity measure, which is one of the objectives, is considered. For the specific case of RBFN, the bounds on the smoothness-based complexity measure are proposed. As shown in the experimental part, the bounds can be used for Pareto set approximation.

There has been recently a lot of interest for functional data analysis [1] and extensions of well-known methods to functional inputs (clustering algorithm [2], non-parametric models [3], MLP [4]). The main motivation of these methods is to benefit from the enforced inner structure of the data. This paper presents how functional data can be used with RBFN, and how the inner structure of the form...

To recognize application of Artificial Neural Networks (ANNs) in weather forecasting, especially in rainfall forecasting a comprehensive literature review from 1923 to 2012 is done and presented in this paper. And it is found that architectures of ANN such as BPN, RBFN is best established to be forecast chaotic behavior and have efficient enough to forecast monsoon rainfall as well as other wea...

Breast cancer is one of the most common types that kills women. When cells become uncontrollably large, develops. As a result, detecting and classifying breast in its early stages essential so patients can take appropriate precautions. On other hand, mammography images have relatively low sensitivity effectiveness cancer. Furthermore, MRI (Magnetic Resonance Imaging) has higher detection for th...

The support vector machine (SVM) has been receiving increasing interest in an area of QSAR study for its ability in function approximation and remarkable generalization performance. However, selection of support vectors and intensive optimization of kernel width of a nonlinear SVM are inclined to get trapped into local optima, leading to an increased risk of underfitting or overfitting. To over...

In this paper a multi-step learning algorithm for creating a Growing Radial Basis Function Network (RBFN) Model is presented and analyzed. The main concept of the algorithm is to gradually increase by one the number of the Radial Basis Function (RBF) units at each learning step thus gradually improving the total model quality. The algorithm stops automatically, when a predetermined (desired) ap...

dust storms are known as hazardous problems in western part of iran. iraq is one of the main sources for dust storm arriving to the western part of iran. the radial basis function network model (rbfn) has been used to assess wind erosion hazards in the source area of dust storms over several western iranian cities. normalized difference salinity index (ndsi) was used to determine the changes in...