Adaptive networks include a set of nodes with adaptation and learning abilities for modeling various types of self-organized and complex activities encountered in the real world. This paper presents the effect of heterogeneously distributed incremental LMS algorithm with ideal links on the quality of unknown parameter estimation. In heterogeneous adaptive networks, a fraction of the nodes, defi...

Abstract Neural network (NN) ensembles can reduce large prediction variance of NN and improve accuracy. For highly non-linear problems with insufficient data set, the accuracy models becomes unstable, resulting in a decrease ensembles. Therefore, this study proposes frequency-based ensemble that identifies core values, which are members to be used expected concentrated near true response. The c...

The UV-spectrophotometric method of analysis was proposed for simultaneous determination of fluoxetine (FLX) and sertraline (SRT). Considering the strong spectral overlap between UV-Vis spectra of these compounds, a previous separation should be carried out in order to determine them by conventional spectrophotometric techniques. Here, full-spectrum multivariate calibrations adaptive neuro-fuzz...