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Multi-Valued and Universal Binary Neurons: Theory,...
Journal article

Multi-Valued and Universal Binary Neurons: Theory, Learning, and Applications

Abstract

The reviewed book is dedicated to an extension of the perceptron, which in its initial form is able to classify correctly only linearly separable patterns. Minsky and Papert have suggested in their seminal book Perceptron (published in 1969) that this serious shortcoming may be surmounted by two different ways: The first way was an introduction of the so-called higher-order input activities that are represented by products of single input …

Authors

Chen K; Kvasnicka V; Kanen PC; Haykin S

Journal

IEEE Transactions on Neural Networks and Learning Systems, Vol. 12, No. 3, pp. 647–647

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

May 1, 2001

DOI

10.1109/tnn.2001.925572

ISSN

2162-237X