DIGNET: a self-organizing neural network for automatic pattern recognition, classification, and data fusion

Stelios C.A. Thomopoulos; Dimitrios K. Bougoulias

doi:10.1117/12.57947

30 April 1992 DIGNET: a self-organizing neural network for automatic pattern recognition, classification, and data fusion

Stelios C.A. Thomopoulos, Dimitrios K. Bougoulias

Author Affiliations +

Proceedings Volume 1611, Sensor Fusion IV: Control Paradigms and Data Structures; (1992) https://doi.org/10.1117/12.57947
Event: Robotics '91, 1991, Boston, MA, United States

Abstract

DIGNET is a self-organizing artificial neural network (ANN) that exhibits deterministically reliable behavior to noise interference, when the noise does not exceed a pre-specified level of tolerance. The complexity of the proposed ANN, in terms of neuron requirements versus stored patterns, increases linearly with the number of stored patterns and their dimensionality. The self-organization of the DIGNET is based on the idea of competitive generation and elimination of attraction wells in the pattern space. DIGNET is used for pattern recognition and classification. Analytical and numerical results are included.

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Stelios C.A. Thomopoulos and Dimitrios K. Bougoulias "DIGNET: a self-organizing neural network for automatic pattern recognition, classification, and data fusion", Proc. SPIE 1611, Sensor Fusion IV: Control Paradigms and Data Structures, (30 April 1992); https://doi.org/10.1117/12.57947

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