How Far Can Layered Lookup Tables Go?

Fuzzy lookup tables or neural networks? The big deal in these experiments is the concrete demonstration of a view I already held. Learned computations can be represented by small lookup tables, connected in layers and executed in Tau Language. The resulting functions can be examined, and stated properties can be checked.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-02
DOI
https://doi.org/10.5281/zenodo.23881060
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

How Far Can Layered Lookup Tables Go?

Dana Edwards
Zenodo (CERN European Organization for Nuclear Research)
Neural Networks and Applications
article

How Far Can Layered Lookup Tables Go?

Dana Edwards
article en

Abstract

Fuzzy lookup tables or neural networks? The big deal in these experiments is the concrete demonstration of a view I already held. Learned computations can be represented by small lookup tables, connected in layers and executed in Tau Language. The resulting functions can be examined, and stated properties can be checked.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 17%
Neural Networks and Applications
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How Far Can Layered Lookup Tables Go? — Dana Edwards · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS