Zobrazeno 1 - 10
of 5 168
pro vyhledávání: '"Types of artificial neural networks"'
Publikováno v:
IEEE Internet of Things Journal. 10:2152-2161
Digital security in modern systems very often uses biometric, and increasingly new implementations appear. Such applications can be found everywhere, even when picking up the package from courier, we certify its receipt through our signature on table
Autor:
Risto Miikkulainen
Publikováno v:
Encyclopedia of Machine Learning and Data Science ISBN: 9781489975027
Encyclopedia of Machine Learning and Data Mining ISBN: 9781489975027
Encyclopedia of Machine Learning
Encyclopedia of Machine Learning and Data Mining ISBN: 9781489975027
Encyclopedia of Machine Learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c3d1904948894dbdc6b281da226e594
https://doi.org/10.1007/978-1-4899-7502-7_843-2
https://doi.org/10.1007/978-1-4899-7502-7_843-2
Autor:
Bernhard Spinnler, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, Yevhenii Osadchuk, Nelson Costa, Wolfgang Schairer, Pedro J. Freire, Antonio Napoli
Publikováno v:
Journal of Lightwave Technology
We present the results of the comparative analysis of the performance versus complexity for several types of artificial neural networks (NNs) used for nonlinear channel equalization in coherent optical communication systems. The comparison has been c
Autor:
John Francis Diaz, Thanh Tung Nguyen
Publikováno v:
Journal of Sustainable Finance & Investment. :1-19
This research examines return predictability based on minimized forecast errors of CSR Indices through the grey relational analysis (GRA) and three types of artificial neural networks (ANN) model, ...
Publikováno v:
Neurocomputing. 423:713-720
Educational institutions continually strive to improve the services they offer, their aim is to have the best possible teaching staff, increase the quality of teaching and the academic performance of their students. A knowledge of the factors that af
Identification of authorship of Ukrainian-language texts of journalistic style using neural networks
Publikováno v:
Eastern-European Journal of Enterprise Technologies, Vol 1, Iss 2 (103), Pp 30-36 (2020)
The problem of development of an effective method for text authorship identification (on the material of publications of well-known Ukrainian journalists) is explored. Most existing methods require text preprocessing, which entails new costs when sol
Autor:
Teddy Surya Gunawan, Mohamed Hadi Habaebi, Shihab A. Hameed, Md. Rafiqul Islam, Mohammed Abdulla Salim Al Husaini
Publikováno v:
IEEE Access, Vol 8, Pp 208922-208937 (2020)
Breast cancer plays a significant role in affecting female mortality. Researchers are actively seeking to develop early detection methods of breast cancer. Several technologies contributed to the reduction in mortality rate from this disease, but ear
In this paper, we first address the dynamics of the elegant multi-valued quaternionic Hopfield neural network (MV-QHNN) proposed by Minemoto and collaborators. Contrary to what was expected, we show that the MV-QHNN, as well as one of its variation,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f40a976fd4259ebe54d4e4316f30bfd4
http://arxiv.org/abs/2112.06643
http://arxiv.org/abs/2112.06643
Publikováno v:
Recurrent Neural Networks
There are many papers that consider different structure and training algorithms of FNN. Within their structural range, the networks may differ by type of signals (singleton, interval, general fuzzy, triangle shaped or other), topology (layered, fully
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebfa009fc7511f78e7c3fb4a94dba8c4
http://www.intechopen.com/articles/show/title/recurrent_fuzzy_neural_networks_and_their_performance_analysis
http://www.intechopen.com/articles/show/title/recurrent_fuzzy_neural_networks_and_their_performance_analysis
Autor:
Zhao Tong
Publikováno v:
Adaptive Control
Adaptive control of highly uncertain nonlinear dynamic systems has been an important research area in the past decades, and in the meantime neural networks control has found extensive application for a wide variety of areas and has attracted the atte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43269ebf2727666ee4e58d627f9c93be
http://www.intechopen.com/articles/show/title/adaptive_control_for_a_class_of_non-affine_nonlinear_systems_via_neural_networks
http://www.intechopen.com/articles/show/title/adaptive_control_for_a_class_of_non-affine_nonlinear_systems_via_neural_networks