47]. Consider the following simple example as illustrated in Figure5. It shows three small, structurally different networks. However, the mean of the degree of these three networks produces the same result for each network
Polynomial: (𝐱·𝐱′+1)𝑑(x·x′+1)d, where d is the degree of the polynomial. Gaussian: 𝑒𝛾||𝐱−𝐱′||/2eγ||x−x′||/2, where 𝛾γ is the kernel bandwidth. Sigmoid: 𝑡𝑎𝑛ℎ(𝛼(𝐱·𝐱′)+𝑟)tanh(α(x·x′)+r), where r is a shifting...
The classes, denoted by Class 1 and Class 2, represent the respective lower and a higher degree of phosphorus removal in steel in the BOF steelmaking process. An unsupervised ML algorithm of K-means clustering is implemented for the initial labeling of each heat observation based on the 𝑙...
Subsequently, the trained LDA model was applied to the test set to determine the probability of each text belonging to each topic. We extracted the top 50 most frequent nouns from the test dataset and created a co-occurrence matrix based on these high-frequency words. Using Gephi, we ...
RBF performed better than the linear kernel-based TWSVM in terms of accuracy (classification rate), which further indicates the strong presence of inherent non-linearity in the data obtained in BOF steelmaking. A third option considered was a polynomial kernel; however, it was not considered ...