Improving the Hamming binary associative memory

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Improving the Hamming binary associative memory

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© The Institution of Electrical Engineers
Published

The Hamming network is a binary associative memory which exhibits the maximum theoretically obtainable performance in terms of capacity and associativity. The structure is not ideal and two modifications which reduce the number of connections in the correlation matrix and in the selection layers are suggested. These modifications offer a significant reduction in the number of calculations required.

Inspec keywords: content-addressable storage; neural nets

Other keywords: correlation matrix; Hamming network; associativity; modifications; maximum theoretically obtainable performance; capacity; neural networks improvement; selection layers; Hamming binary associative memory; connection number reduction

Subjects: Semiconductor storage; Memory circuits; Artificial intelligence (theory)

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