Construction of Minimal n-2-n Encoders for Any n

Author:

Phatak D. S.1,Choi H.1,Koren I.1

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).

Publisher

MIT Press - Journals

Subject

Cognitive Neuroscience,Arts and Humanities (miscellaneous)

Reference1 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Perfect Fault Tolerance of the n-k-n Network;Neural Computation;2005-09-01

2. Nonlinear Autoassociation Is Not Equivalent to PCA;Neural Computation;2000-03-01

3. Complete and partial fault tolerance of feedforward neural nets;IEEE Transactions on Neural Networks;1995-03

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