Abstract
Abstract. This paper proposes an approach for entropy optimization by neural networks. A brief introduction to this problem is given. A simple neural algorithm based upon MSE minimization is provided. Validation of this algorithm is given by an application to the Source Separation problem.
Cite
CITATION STYLE
APA
Taleb, A., & Jutten, C. (1997). Entropy optimization application to blind source separation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1327, pp. 529–534). Springer Verlag. https://doi.org/10.1007/bfb0020208
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