Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) is a monthly peer-reviewed scopus indexed journal originally founded in 1986. It is sponsored by the Ministry of Education, china and Northeastern University, china. Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) has always adhered to the correct purpose of running the journal, and has been committed to gathering and disseminating excellent academic achievements, inspiring technological innovation, and promoting the development of disciplines in my country.Aiming at major national needs and international frontiers, this journal has published a large number of original and high-level research result. The journal was selected into the "China Science and Technology Journal Excellence Action Plan Project" in December 2019.In the future, it will strive to build an open innovation, collaborative integration.
The influence of the main parameters of the collaborative filtering algorithm on the quality of personalized recommendations is investigated. The number of users in the system and the number of nearest neighbors involved in the calculation are used as independent variables in the experiment. For each combination of these parameters, the mean absolute error is measured, which reflects the accuracy of the recommendations, as well as the algorithm's operation time. Based on the obtained data, heat maps are created that allow visualizing the estimates obtained. Optimal areas are identified in whic
The computational complexity requirement of an acoustic howling controller is a key factor determining its implementability, especially on resource-constrained hardware platform. This paper explores the development of a howling control algorithm that has very low computational cost and is implementable without requiring the use of hardware multipliers. The algorithm was analysed, modelled in a MATLAB® environment, and tested with speech and audio signals to obtain its performance indices. The modified gain toggling technique has a MSG Increase figure of 9.215 dB and 6.826 dB for speech and au
In this paper, we will study a prey-predator model with predators structured as immature and mature. For harvesting species, the fraction of stock available for prey and the fraction of stock available for predators are taken into account. Our analysis will focus on the permanence of system, the equilibrium points and the optimal harvesting strategy for prey and mature predators. Numerical simulations are being conducted to confirm the theoretical results of our work.
To address the problem that power dispatch communication networks are prone to abnormal behaviors such as anomalous flows and at the same time reduce the reliability of power dispatch, we have investigated a machine learning Bayesian algorithm-based security situational awareness method for power dispatch. Specifically, we use the Hadoop platform to collect power dispatch data corresponding to the security situational awareness impact indicators. At the same time, we use the subject model algorithm to project the collected power dispatch data into the optimal identification vector space to det
In this article, we study the distribution for ,where is the partial differential operator related to Laplace operator iterated times, is the Dirac delta distribution, is a variable in , and ) is a constant. In particular, we study the application of for solving the solution of some convolution equation. We find that the types of solutions to such convolution equations, such as the ordinary function and the singular distribution, depend on the relationship between and