Research and Optimization of Dynamic Stochastic Neural Networks in Computer Systems

2018 International Conference of Green Buildings and Environmental Management

土木建筑工程;生态环境科学

Yang, Rui^1

Beijing University of Posts and Telecommunications, Beijing

100876, China^1

关键词: Computer research;    Computer vision system;    Learning methods;    Motion recognition;    Random neural network;    Service systems;    Stochastic neural network;    Traditional computers;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/186/5/012056/pdf
DOI  :  10.1088/1755-1315/186/5/012056

来源: IOP

【 摘 要 】

Computer vision systems are at the forefront of computer research, but there is no complicated computer vision mathematical model. Based on computer system and fuzzy theory, a computer vision service system based on dynamic random neural network is proposed. In addition, a new learning method called Fisher forest is proposed which enables the motion recognition method to use different types or even various numbers of joints for different actions, postures or situations. Fisher forest proposed method can also be used as an effective classifier vector for the present class having a different quality or even to classify different dimensions, and therefore may be used in other applications using the data having different types or dimensions under certain conditions in. After building a more accurate mathematical model, we performed simulation experiments on the model to verify the superiority of the system compared to other traditional computer vision systems.