원문정보
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
As a new entertainment and social way, online games now have a huge and increasing user group, so it is of great significance to identify the data stream of online games. Using the excellent nonlinear fitting ability of BP neural network and the advantages of global search of genetic algorithm, the initial weights and thresholds of BP neural network are optimized, and the BP neural network model optimized by genetic algorithm is established. The muti-dimensional input information is proposed to identify online game data streams. Through the experimental simulation, it shows that the selected muti-dimensional information and the established model can be well applied to online game stream recognition.
목차
ABSTRACT
1. Introduction
2. BP neural network optimized by genetic algorithm
2.1 Basic principles of genetic algorithm
2.2 genetic algorithm optimizes BP neural network algorithm model
3. Network game data stream recognition model
3.1 data sources
3.2 data quantification
3.3 Identification model
4. Experimental analysis
4.1 parameter setting
6. Conclusions
References
1. Introduction
2. BP neural network optimized by genetic algorithm
2.1 Basic principles of genetic algorithm
2.2 genetic algorithm optimizes BP neural network algorithm model
3. Network game data stream recognition model
3.1 data sources
3.2 data quantification
3.3 Identification model
4. Experimental analysis
4.1 parameter setting
6. Conclusions
References
저자정보
참고문헌
자료제공 : 네이버학술정보