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In this paper, we discuss some properties of Block Feedback Neural Networks (BFN). In the first part of the paper, we study network structures. We define formally what a structure is, and then show that the set F n of n-layers BFN structures can be expressed as the direct sum of the set A n of n-layers BFN architectures and the set D n of n-layers BFN dimensions. Both A ...
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