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We denote the parameters of these layers by [Math Processing Error]W(k) and [Math Processing Error]b(k) for [Math Processing Error]k=1,2,3, where [Math Processing Error]W(k) is the weight matrix of the layer and [Math Processing Error]b(k) is the corresponding bias vector. So, ...
the hesitant fuzzy linguistic projection-based multi-attributive border approximation area comparison (MABAC) method and enhanced the traditional MABAC method by incorporating the Bonferroni mean to account for the relationship between two input factors. Nevertheless, these models do not tackle the interrela...
of things (usually file names) that have changed since the previous time the result to the same test was inserted. The tool keeps track of the previous status of the test cases and if it has changed since the previous execution, the tool will update the sensitivity matrix with that ...
The feed-forward calculation for one sample needs two matrix operations, which requires 𝑛𝑓𝑒𝑎𝑡𝑢𝑟𝑒×𝑛2nfeature×n2 and 𝑛2×𝑛𝑎𝑐𝑡𝑖𝑜𝑛n2×naction times of computation. So the time complexity for one sample is 𝑜(𝑛𝑓𝑒𝑎𝑡𝑢𝑟𝑒×𝑛2+...
where 𝑥∈ℝ𝑝x∈Rp is the input of the layer, 𝑦∈ℝ𝑞y∈Rq is the output of the layer, and the weight matrix 𝜔∈ℝ𝑞×𝑝ω∈Rq×p and the bias 𝑏∈ℝ𝑞b∈Rq need to be learned and updated. In the noisy network, 𝜔ω is replaced with 𝜇𝜔+𝜎𝜔...
We suppose that R(k) = (ri(jk))m×n is the kth decision matrix, where ri(jk) = Hi(jk) is the value given by ek for alternative Di with respect to the criterion cj. By virtue of the H2TLPWA aggregation operator and H2TLCA aggregation operator, an approach of settling MCDM ...
Essential Oils in Food Preservation: Mode of Action, Synergies, and Interactions with Food Matrix Components. Front. Microbiol. 2012, 3, 20029. [Google Scholar] [CrossRef] [PubMed] Becerril, R.; Nerín, C.; Gómez-Lus, R. Evaluation of Bacterial Resistance to Essential Oils and ...