Automatic analysis of CHIMERA experimental data by means of a hierarchical pre-attentive neural system
Biological vision processes are at the basis of many studies in the image-processing field. In this context, neural networks developed by S. Grossberg constitute an interesting approach. The paper presents a novel method for the automatic analysis of scatter plots from CHIMERA experimental data based on Grossberg's pre-attentive neural systems. The design and implementation of a system developed for this purpose are illustrated. The proposed method yields satisfactory results also in very noisy cases. (C) 2001 Elsevier Science B.V. All rights reserved.
neural networks data analysis and visualization pre-attentive systems