Zobrazeno 1 - 10
of 292
pro vyhledávání: '"Teresa B. Ludermir"'
Publikováno v:
AI, Vol 4, Iss 1, Pp 16-27 (2022)
In this paper we propose a procedure to enable the training of several independent Multilayer Perceptron Neural Networks with a different number of neurons and activation functions in parallel (ParallelMLPs) by exploring the principle of locality and
Externí odkaz:
https://doaj.org/article/38db573002f74b078eda74821baa6cc2
Publikováno v:
Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC). :302-313
Uma das tarefas mais primitivas em organização de padrões, a Análise de Agrupamentos, é um problema difícil em análise exploratória de dados. Muitos dos algoritmos de agrupamento são facilmente presos em mínimos locais, por não possuírem
Publikováno v:
Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2022).
Neste trabalho, três models de Agrupamento Automático de Dados, baseados na meta-heurística de Otimização por Busca em Grupo (GSO), são introduzidos, chamados RHGSO, ADHGSO e BDHGSO. Nos modelos propostos, a busca global do GSO é melhorada atr
Publikováno v:
Natural Computing. 20:611-636
Cluster analysis is one important field in pattern recognition and machine learning, consisting in an attempt to distribute a set of data patterns into groups, considering only the inner properties of those data. One of the most popular techniques fo
Autor:
Fernando M. de Paula Neto, Teresa B. Ludermir, Wilson Rosa de Oliveira, Adenilton J. da Silva
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 31:3741-3746
The ability of artificial neural networks (ANNs) to adapt to input data and perform generalizations is intimately connected to the use of nonlinear activation and propagation functions. Quantum versions of ANN have been proposed to take advantage of
Autor:
Teresa B. Ludermir
Publikováno v:
Women in Computational Intelligence ISBN: 9783030790912
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::384e97c74445250203357e8f8a713062
https://doi.org/10.1007/978-3-030-79092-9_15
https://doi.org/10.1007/978-3-030-79092-9_15
Publikováno v:
Intelligent Systems ISBN: 9783031216886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8335933d9dd37e79e85c89581773402b
https://doi.org/10.1007/978-3-031-21689-3_27
https://doi.org/10.1007/978-3-031-21689-3_27
Publikováno v:
Intelligent Systems ISBN: 9783031216855
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ab3ee8d7d1d3f203001e5fbfc3ed985
https://doi.org/10.1007/978-3-031-21686-2_24
https://doi.org/10.1007/978-3-031-21686-2_24
Autor:
Sérgio F. Chevtchenko, Eduardo J. Barbosa, Marcelo C. Cavalcanti, Gustavo M.S. Azevedo, Teresa B. Ludermir
Publikováno v:
Applied Soft Computing. 131:109748
Publikováno v:
WebMedia
Recipe sharing websites have become even more popular in the past few decades, and such repositories are able to keep hundreds of thousands of cooking recipes at the same time. Many recipe websites are developed with the participation of their commun