Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Islam Elnabarawy"'
Publikováno v:
Neural Networks. 121:208-228
This paper presents a novel adaptive resonance theory (ART)-based modular architecture for unsupervised learning, namely the distributed dual vigilance fuzzy ART (DDVFA). DDVFA consists of a global ART system whose nodes are local fuzzy ART modules.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dbdcfec57f8d1521a8292c58d5fc547
https://doi.org/10.1016/j.neunet.2019.08.033
https://doi.org/10.1016/j.neunet.2019.08.033
Publikováno v:
Neural Networks. 120:167-203
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, namely, unsupervised, supervised and reinforcement learning. It comprises a repre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c6a9e20f84c7896ee6d32aab5993eab
https://doi.org/10.1016/j.neunet.2019.09.012
https://doi.org/10.1016/j.neunet.2019.09.012
Publikováno v:
Neural Networks. 109:1-5
Clusters retrieved by generic Adaptive Resonance Theory (ART) networks are limited to their internal categorical representation. This study extends the capabilities of ART by incorporating multiple vigilance thresholds in a single network: stricter (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5b1accd4542ba2ffd7e0b42c7b5cc3c
https://doi.org/10.1016/j.neunet.2018.09.015
https://doi.org/10.1016/j.neunet.2018.09.015
Publikováno v:
SSCI
The internal representation of the categories in Adaptive Resonance Theory (ART) neural networks can greatly affect the quality and compactness of the discovered clusters. Dual vigilance thresholds have been shown to yield a significant improvement i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1f5ebc1647d560a1a6fb984e4898f89
https://doi.org/10.1109/ssci44817.2019.9002721
https://doi.org/10.1109/ssci44817.2019.9002721
Autor:
Leonardo Enzo Brito da Silva, Donald C. Wunsch, Daniel R. Tauritz, Marketa Illetskova, Islam Elnabarawy
Publikováno v:
GECCO (Companion)
While the performance of many neural network and machine learning schemes has been improved through the automated design of various components of their architectures, the automated improvement of Adaptive Resonance Theory (ART) neural networks remain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f81a737b11a0a1185353b411d8004e6a
https://doi.org/10.1145/3319619.3322050
https://doi.org/10.1145/3319619.3322050
Publikováno v:
IJCNN
One of the leading approaches to collaborative filtering is to use matrix factorization to discover a set of latent factors that explain the pattern of preferences. In this paper, we apply a resilient stochastic gradient descent approach that uses on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86161124c593cbe1f9115d6a7cafe35d
https://doi.org/10.1109/ijcnn.2018.8489528
https://doi.org/10.1109/ijcnn.2018.8489528
Publikováno v:
SSCI
This paper introduces three integrated hybrid approaches that apply a combination of Hierarchical Particle Swarm Optimization (HPSO) and Evolutionary Algorithms (EA) to the Quadratic Assignment Problem (QAP). The approaches maintain a single populati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9180d91b329edcf525eaf2494ef55c45
https://doi.org/10.1109/ssci.2017.8280797
https://doi.org/10.1109/ssci.2017.8280797
Publikováno v:
GECCO (Companion)
Fuzzy Adaptive Resonance Theory (ART) is a classic unsupervised learning algorithm. Its performance on a particular clustering problem is sensitive to the suitability of the category function for said problem. However, classic Fuzzy ART employs a fix
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ac2fba718170aad442df70e4d3dc7fa
https://doi.org/10.1145/3067695.3082056
https://doi.org/10.1145/3067695.3082056
Autor:
Ashraf M. Abdelbar, Islam Elnabarawy
Publikováno v:
Neural Computing and Applications. 25:897-910
High order neural networks (HONNs) are neural networks which employ neurons that combine their inputs non-linearly. The high order network with exponential synaptic links (HONEST) network is a HONN that uses neurons with product units and adaptable e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dbde300d7719ed4e067d0176595e11e3
https://doi.org/10.1007/s00521-014-1563-7
https://doi.org/10.1007/s00521-014-1563-7
Publikováno v:
IJCNN
Collaborative filtering provides recommendations based on the behavior of each user combined with behavior of users with similar interests. Recommender systems are becoming widespread, helping people choose movies, books, and things to buy. In this s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbac48194ef657623fc4633d731bca6f
https://doi.org/10.1109/ijcnn.2016.7727578
https://doi.org/10.1109/ijcnn.2016.7727578