Neural Network Analysis of Plasma Spectra

A neuro-fuzzy model of adaptive learning and feature detection is presented for plasma analysis. The inherent issues of a network with massive amount of input channels are analyzed based on a statistical argument. Remedial solutions are suggested. A fuzzy filtering architecture for learning efficiency and feature detection is described together with simulation results.