
TL;DR
This paper introduces neuro-indexes, a novel data structure that utilizes neural network weight coefficients as an alternative to traditional file indexes, offering a fundamentally different approach.
Contribution
The paper presents neuro-indexes, a new data structure that replaces reference-based indexes with neural network weights, providing a different method for data indexing.
Findings
Neuro-indexes store weight coefficients in neural networks.
Neuro-indexes differ fundamentally from traditional keyword-position indexes.
The approach offers a new perspective on data indexing methods.
Abstract
The article describes a new data structure called neuro-index. It is an alternative to well-known file indexes. The neuro-index is fundamentally different because it stores weight coefficients in neural network. It is not a reference type like "keyword-position in a file".
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Taxonomy
TopicsNeural Networks and Applications · Fuzzy Logic and Control Systems · Rough Sets and Fuzzy Logic
