A survey of adaptive resonance theory neural network models for engineering applications
This survey samples from the ever-growing family of adaptive resonance theory (ART)
neural network models used to perform the three primary machine learning modalities …
neural network models used to perform the three primary machine learning modalities …
A novel adaptive learning algorithm for low-dimensional feature space using memristor-crossbar implementation and on-chip training
SH Klidbary, SB Shouraki - Applied Intelligence, 2018 - Springer
Proposing an efficient algorithm with an appropriate hardware implementation has always
been an interesting and a rather challenging field of research in Artificial Intelligence (AI) …
been an interesting and a rather challenging field of research in Artificial Intelligence (AI) …
The neuro-fuzzy computing system with the capacity of implementation on a memristor crossbar and optimization-free hardware training
F Merrikh-Bayat, F Merrikh-Bayat… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
In this paper, first we present a new explanation for the relationship between logical circuits
and artificial neural networks, logical circuits and fuzzy logic, and artificial neural networks …
and artificial neural networks, logical circuits and fuzzy logic, and artificial neural networks …
Hardware implementation design of parallelized fuzzy Adaptive Resonance Theory neural network
P Tymoshchuk, S Shatnyi - 2019 IEEE XVth International …, 2019 - ieeexplore.ieee.org
A hardware implementation design of parallelized fuzzy Adaptive Resonance Theory neural
network is described and simulated. Parallel category choice and resonance are …
network is described and simulated. Parallel category choice and resonance are …
Memristor based neuromorphic adaptive resonance theory for one-shot online learning and network intrusion detection
MS Alam, C Yakopcic, G Subramanyam… - International Conference …, 2020 - dl.acm.org
As computer networks become more advanced, the necessity for reliable intrusion detection
at extreme efficiency has vastly increased. Thus, in this work we present a one shot learning …
at extreme efficiency has vastly increased. Thus, in this work we present a one shot learning …
[图书][B] Neuroengineering of clustering algorithms
LEB da Silva - 2019 - search.proquest.com
Cluster analysis can be broadly divided into multivariate data visualization, clustering
algorithms, and cluster validation. This dissertation contributes neural network-based …
algorithms, and cluster validation. This dissertation contributes neural network-based …
[PDF][PDF] Схемотехнічна реалізація моделі розпаралеленої штучної нейронної мережі нечіткої теорії адаптивного резонансу
П Тимощук, С Шатний - … Design Systems. Theory and Practice, 1 …, 2019 - science.lpnu.ua
У статті описана і змодельована схемотехнічна реалізація розпаралеленої штучної
нейронної мережі нечіткої теорії адаптивного резонансу. У мережі реалізовані …
нейронної мережі нечіткої теорії адаптивного резонансу. У мережі реалізовані …