Acknowledgments: This article is based on a talk presented at the Stanford Forum for Higher Education futures whose participants greatly strengthened the ideas presented. Since the talk drew heavily on two existing research papers, a significant intellectual debt is owed to Erik Brynjolfsson who coauthored the original work on Internet economics. Ideas on complex organizations have also benefit...

Aims. We present an innovative artificial neural network (ANN) architecture, called Generative ANN (GANN), that computes the forward model, that is it learns the function that relates the unknown outputs (stellar atmospheric parameters, in this case) to the given inputs (spectra). Such a model can be integrated in a Bayesian framework to estimate the posterior distribution of the outputs. Metho...

The results of the study features formation and processing signals autodyne short-range radar systems (SRR) with frequency modulation (FM) involving non-linearity characteristic are presented. numerical simulation nonlinear influence on shape spectrum signal is implemented basis mathematical model generator. We have established that even a small this causes significant distortion signal. A meth...

One of the key applications of microarray studies is to select and classify gene expression profiles of cancer and normal subjects. In this study, two hybrid approaches–genetic algorithm with decision tree (GADT) and genetic algorithm with neural network (GANN)–are utilized to select optimal gene sets which contribute to the highest classification accuracy. Two benchmark microarray datasets wer...