Introduction. Neural network models of autoassociative, distributed memory allow storage
and retrieval of many items (vectors) where the number of stored items can exceed the …

Associative memories enjoy many interesting properties in terms of error correction
capabilities, robustness to noise, storage capacity, and retrieval performance, and their …

Brest, 1st of May, 2022. The work described in this manuscript would not have been possible
without the support of several people that I want to acknowledge here. First, as a graduate in …

ISSN 2519-2205 (Online), ISSN 0454-9910 (Print). Киб. и выч. техн. 2017. № 2 (188) 6
discuss not only autoassociative memory, but also the generalization properties of these …

Associative memories enjoy many interesting properties in terms of error correction
capabilities, robustness to noise, storage capacity and retrieval performance and their usage …

Interestingly, when I began my PhD back in 2008, neural networks were almost unanimously
considered obsolete. Their inaptitude to solve real world problems, added to the …

Since the initial model of the perceptron proposed in 1957, artificial neural networks have
ignited great interest in the scientific community as an alternative to the classical Von …

Conclusions. In conclusion we discuss the relations to similarity search, advantages and
drawbacks of these techniques, and topics for further research. An interesting and still not …

Conclusions. In conclusion we discuss the relations to similarity search, advantages and
drawbacks of these techniques, and topics for further research. An interesting and still not …

Conclusions. In conclusion we discuss the relations to similarity search, advantages and
drawbacks of these techniques, and topics for further research. An interesting and still not …