On the Internal Representations of Product Units

Authors:
Jung-Hua Wang;Yi-Wei Yu;Jia-Horng Tsai
Affiliations:
Department of Electrical Engineering, National Taiwan Ocean University, 2 Peining Rd., Keelung, Taiwan;Department of Electrical Engineering, National Taiwan Ocean University, 2 Peining Rd., Keelung, Taiwan;Department of Electrical Engineering, National Taiwan Ocean University, 2 Peining Rd., Keelung, Taiwan
Venue:
Neural Processing Letters
Year:
2000

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Abstract

This paper explores internal representation power of product units [1] that act as the functional nodes in the hidden layer of a multi-layer feedforward network. Interesting properties from using binary input provide an insight into the superior computational power of the product unit. Using binary computation problems of symmetry and parity as illustrative examples, we show that learning arbitrary complex internal representations is more achievable with product units than with traditional summing units.