Zobrazeno 1 - 10
of 265
pro vyhledávání: '"Forward propagation"'
Autor:
Li Wenming
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The purpose of designing a sports training fitness index monitoring system is to grasp better the physical performance data of athletes in the training process to ensure training safety. In this paper, the principle of multilayer perceptron is explai
Externí odkaz:
https://doaj.org/article/9026bc8a46f74cf2a69652b00bc4e7f0
Publikováno v:
Materials Research Express, Vol 11, Iss 3, p 035701 (2024)
This study emphasizes the usage of Silica Fume (SF) and Marble Sludge Powder (MSP) as a partial replacement for fly ash in Fibre Reinforced Foamed Concrete (FRFC). The compressive strength for various samples was analyzed using Artificial Neural Netw
Externí odkaz:
https://doaj.org/article/ae5defb370694826a77295b37330e574
Autor:
Humberto de Jesús Ochoa Domínguez, Vianey Guadalupe Cruz Sánchez, Osslan Osiris Vergara Villegas
Publikováno v:
Mathematics, Vol 12, Iss 2, p 296 (2024)
Building deep learning models proposed by third parties can become a simple task when specialized libraries are used. However, much mystery still surrounds the design of new models or the modification of existing ones. These tasks require in-depth kn
Externí odkaz:
https://doaj.org/article/e0c02a6e59b74d9194908d8369e08707
Publikováno v:
IEEE Access, Vol 10, Pp 124545-124562 (2022)
Cause-effect graphs are a popular black-box testing technique. The most commonly used approach for generating test cases from cause-effect graph specifications uses backward-propagation of forced effect activations through the graph in order to get t
Externí odkaz:
https://doaj.org/article/e2279886449e47d08c407b5e364e9308
Autor:
Ravi Kiran, Dayakar L. Naik
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-13 (2021)
Abstract Evaluating the exact first derivative of a feedforward neural network (FFNN) output with respect to the input feature is pivotal for performing the sensitivity analysis of the trained neural network with respect to the inputs. In this paper,
Externí odkaz:
https://doaj.org/article/621800d62df644acb7ed65e3fd9e6870
Autor:
Paul TEODORESCU
Publikováno v:
Revista Română de Informatică și Automatică, Vol 30, Iss 3, Pp 119-132 (2020)
In this paper, it is proposed to understand how the computer is able to extract a simple human feeling of "liked" or "disliked" from a text. Basically the computer will learn to correctly place a movie review in one of the two categories of positiv
Externí odkaz:
https://doaj.org/article/3e9a7d31b5a24849bf2894bb2da4a989
Akademický článek
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Autor:
Paul TEODORESCU
Publikováno v:
Revista Română de Informatică și Automatică, Vol 29, Iss 4, Pp 47-62 (2019)
In this paper it is proposed to solve a visual problem of recognizing a handwritten figure. A machine learning technique will be used in which a result is produced based on previous experience. It will be seen how, starting with input values and outp
Externí odkaz:
https://doaj.org/article/e4d2c9ab42da41159f2b191d05def5e9
Publikováno v:
Sensors, Vol 22, Iss 11, p 4167 (2022)
In recent times, there has been a huge upsurge in malicious attacks despite sophisticated technologies in digital network data transmission. This research proposes an innovative method that utilizes the forward-propagation workflow of the convolution
Externí odkaz:
https://doaj.org/article/7b0d5601f1a94456b4baa107cc2958e3
Akademický článek
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