Affiliation:
1. Department of Electrical and Computer Engineering, University of Massachusetts, Amherst, MA 01003 USA
Abstract
The encoding problem (Rumelhart and McClelland 1986) is an important canonical problem. It has been widely used as a benchmark. Here, we have analytically derived minimal-sized nets necessary and sufficient to solve encoding problems of arbitrary size. The proofs are constructive: we construct n-2-n encoders and show that two hidden units are also necessary for n > 2. Moreover, the geometric approach employed is general and has much wider applications. For example, this method has also helped us derive lower bounds on the redundancy necessary for achieving complete fault tolerance (Phatak and Koren 1992a,b).
Subject
Cognitive Neuroscience,Arts and Humanities (miscellaneous)
Cited by
3 articles.
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