articleTop 10% cited

Counterpropagation networks

Applied Optics · 1987 · Vol. 26(23) · pp. 4979–4979

Abstract

By combining Kohonen learning and Grossberg learning a new type of mapping neural network is obtained. This counterpropagation network (CPN) functions as a statistically optimal self-programming lookup table. The paper begins with some introductory comments, followed by the definition of the CPN. Then a closedform formula for the error of the network is developed. The paper concludes with a discussion of CPN variants and comments about CPN convergence and performance. References and a neurocomputing bibliography with a combined total of eighty entries are provided.

Neural Networks and Applications Fuzzy Logic and Control Systems Control Systems and IdentificationArtificial neural networkComputer scienceConvergence (economics)Self-organizing mapArtificial intelligenceTable (database)Lookup tableBackpropagationData mining

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