To further improve the effect of gene modules identification, combining the Newman algorithm in community detection and K-means algorithm framework, a new method of gene module identification, GCNA-Kpca algorithm, was proposed. The core idea of the algor
Rights and permissions Reprints and permissions About this article Cite this article Zhu, C., Li, G. A multilayer backpropagation saliency detection algorithm and its applications.Multimed Tools Appl77, 25181–25197 (2018). https://doi.org/10.1007/s11042-018-5780-4 Download citation Received09 ...
Research on hybrid strategy Particle Swarm Optimization algorithm and its applications Article Open access 22 October 2024 Cooperative metaheuristic algorithm for global optimization and engineering problems inspired by heterosis theory Article Open access 21 November 2024 Introduction...
It is proposed to improve the study of particle optimization and its application in order to solve the problem of inefficiency and lack of local optimization skills in the use of particle herd optimization. Firstly, the basic principle, mathematical description, algorithm parameters, and flow of the...
Maximization(EM)algorithmcanbeusedforitssolution.Wefirstdescribetheabstract formoftheEMalgorithmasitisoftengivenintheliterature.WethendeveloptheEMpa- rameterestimationprocedurefortwoapplications:1)findingtheparametersofamixtureof Gaussiandensities,and2)findingtheparametersofahiddenMarkovmodel(HMM)(i.e., ...
GTOA only requires the population size and termination criterion without extra control parameters. Its superior performance in the solution of SOPs indicates that the algorithm has great application potential in other fields. Hence, this paper proposes a multi-objective GTOA (MOGTOA) to optimize ...
introduced three general frameworks—F1, F2, and F3—for n-to-n-bit pseudorandom functions (PRFs) based on public random permutations, and showed that F1 is not secure with 𝑂(𝑛)O(n) quantum queries by Simon’s algorithm while its PRFs achieve 𝑛/2n/2-bit security in the ...
Kaufmann [10] used distance measure to define fuzzy entropy whereas Yager [17] defined entropy as the distance from a fuzzy set and its complement. Similarly in the case IFS, intuitionistic fuzzy entropy gives the amount of vagueness or ambiguity in Construction of intuitionistic fuzzy set A ...
当当中国进口图书旗舰店在线销售正版《【预订】Teaching Learning Based Optimization Algorithm: And Its Engineering Applications》。最新《【预订】Teaching Learning Based Optimization Algorithm: And Its Engineering Applications》简介、书评、试读、价格、图片等
the aphid cannot fly on its own but relies on the wind to migrate. When there is more energy of its own, the aphid power system and resistance are stronger, and individuals perform the active flight. At this time, when the population is more crowded, the poorer survival conditions cause ...