-In the current intelligent algorithm recommendation systems, collaborative filtering recommendati
Customer frequent churn is a serious problem in telecom. In the three major telecom operators, the competition is quite fierce. Owing to lack of a high-efficient prediction model ,the existing means effect is far from enterprise target. This paper proposes a combination model CPM based on constraint model, prediction model and mark model responsible for different job. Customer subdivision is vital for pertinent service further to reduce the rate of latent customers run off.
In view of their own limitations of GA[1] and ACA[2][3] in the fault location of distribution network, this paper presents a new group intelligent optimization method which is simple and easy to implement, fast convergence rate, more global optimization ability, etc, and this is the PSO. Then the basic principles of the PSO algorithm and the Standard algorithm of PSO are discussed in details, on the base of that, this paper continues to introduce the principle of PSO algorithm which is used in the fault location of distribution network. This section mainly introduces the structure of distribution network, then makes a brief introduction of the fault location algorithm, finally writes out the detailed steps of PSO algorithm. When already understood the principles and algorithms, a detailed analysis of the distribution network. This paper makes use of this method in the process of the location of transformer combined with the high accuracy of fault location which avoid the possibility of local convergence. Finally this paper gives the analysis of case, the result shows that the proposed method of distribution network fault location is feasible.
-Aiming at getting a high efficient network routing decision strategy, to settle problems of slow convergence speed and easily to fall into local optimal, this paper proposes a new decision strategy based on ant colony algorithm. Memory device to record each time pheromone value and pheromone differences value of the adjacent times to decide follow the former route or find a new one are the focus of this paper. The new decision technology accelerates the convergence rate, improves network utilization rate and accuracy of network routing.
This paper introduces the present situation of the two-dimensional code and problems in two-dimensional code in the process of development,and discusses the security problem of two-dimensional code decoding information,then proposes a human fingerprint encryption algorithm based on two-dimensional code model.The realization of the model results not only improve the safety of two-dimensional code information,but also develop a broader space for the development of two-dimensional code in the future.In recent years,the intelligent mobile phone of popularization provides a solid foundation for the development of two-dimensional code software function.The application of two-dimensional code has changed the traditional mode of the Internet users by using URL to browse and download.This way combine with the traditional value-added service,and bring convenience for people's life.However, due to usually adopt open mode, people did not centralized management and control of it,therefore the personal information in two dimensional code was decoded easily,and the safety of two-dimensional code information becomes an important aspect of new value-added service application of two-dimensional code.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.