A recursive least square algorithm with a forgetting factor is introduced to find all the accurate solutions for the P3P problem. Then the algorithm is extended to the general PP problem. The solution stability issues are investigated for the P3P, P4P and P5P problem, respectively. Furthermore,...
ArticleGoogle Scholar Chen, Y., Li, C., Yang, J.: Design and application of Nagar-Bardini structure-based interval type-2 fuzzy logic systems optimized with the combination of backpropagation algorithms and recursive least square algorithms. Expert Syst. Appl.211, 1–10 (2023) ArticleGoogle S...
F Ling, D Manolakis, JG Proakis, A recursive modified Gram-Schmidt algorithm for least-squares estimation. IEEE Trans. Acoust. Speech Signal Process. 34, 829–836 (1986) Article Google Scholar K Gerlach, FF Kretschmer, Convergence properties of Gram-Schmidt and SMI adaptive algorithms. IEEE Tr...
Decrypt Password using MD5 algorithm in sql server Decrypt the encrypted store procedure through the T-SQL programming in SQL Server 2005 Decrypt the hashed password in SQL Server 2008 DECRYPTBYPASSPHRASE sometimes returns NULL for...
l-diversity guarantees each tuple falls in an equivalent class which has at least l well-represented sensitive values, so the true data is not revealed. Let ri denote the number of occurrences of the ith most frequent sensitive value in an equivalent class, the class is recursive (c,l)-...
We give the pseudocode for the RecIn_U in Algorithm 3 and then the extended recursive inertia test, xRecIn in Algorithm 4. We omit the pseudocode for RecIn_L since it is easy to derive it from RecIn_U. Note that for the calculation of the Schur complement in step 10 of the RecIn...
Answer to: procedure Loops(n:a positive integer) 1. for i:=1 to n 2. for j:=1 to n 3. print(i,j) a) Write what the algorithm...
The cognitive functionality of neural oscillations is still highly debated, as different functions have been associated with identical frequency ranges. Theta band oscillations, for instance, were proposed to underlie both language comprehension and domain-general cognitive abilities. Here we show that the...
The\( extract (t, \Sigma )\)function in Algorithm 1 takes a trace\(t = (s_1,\ldots , s_n)\)(a sequence of sets of ground atoms), and a type signature\(\Sigma \)and produces a set of\((B_i,E^+_i,E^-_i)\)triples. This set of triples represents a set of induction ...
The back-propagation training algorithm is an iterative gradient algorithm designed to minimize the mean square error between the actual output of a multi-layer feed-forward neural net and the desired output. It requires continuous differentiable non-linearities. A recursive algorithm starting at the ...