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An iterative artificial neural network for high dimensional data analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2005) 3697 LNCS 691-696
DOI: 10.1007/11550907_110
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Abstract

We present an Iterative Artificial Neural Network (IANN) in which computation is performed through a set of successive layers sharing the same weights. This network requires fewer weights while it can handle high-dimensional inputs. IANN is applied, with good results, to a time series prediction and two classification problems. © Springer-Verlag Berlin Heidelberg 2005.

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APA

Vieira, A. (2005). An iterative artificial neural network for high dimensional data analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3697 LNCS, pp. 691–696). https://doi.org/10.1007/11550907_110

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