A hardware architecture for radial basis function neural network classifier
M Mohammadi, A Krishna, S Nalesh… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper we present design and analysis of scalable hardware architectures for training
learning parameters of RBFNN to classify large data sets. We design scalable hardware …
learning parameters of RBFNN to classify large data sets. We design scalable hardware …
[PDF][PDF] Hardware platform design analysis of K-Means clustering algorithm implementation
FW Wibowo, M Sulistiyono - International Journal of Engineering …, 2018 - researchgate.net
The K-Means clustering algorithm is an unsupervised data mining technique and it has also
been used widely to solve the problem in real life. This paper addresses a design analysis of …
been used widely to solve the problem in real life. This paper addresses a design analysis of …
Development of methods and algorithms of technical vision for detecting the defect longitudinal crack on sheet metal
M Konstantin, S Maksim - 2022 6th Scientific School Dynamics …, 2022 - ieeexplore.ieee.org
The paper presents a mathematical model of a fuzzy subset of a defect in a digital image
and is described as a piecewise constant function. The analysis of the filtering of the flaw …
and is described as a piecewise constant function. The analysis of the filtering of the flaw …